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stringlengths 25
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|---|---|---|---|
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
this is the worst thing I have ever heard! The Mayor of P.R. needs to distribute the food water to the people of P.R. immediately, no excuse
|
P.R.
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "this is the worst thing I have ever heard! The Mayor of P.R. needs to distribute the food water to the people of P.R. immediately, no excuse",
"role": "user"
},
{
"content": "P.R.",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Maria, the case where a large storm destroyed a small US territory and the whole world realized the US is in desperate need of intervention.
|
small US
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Maria, the case where a large storm destroyed a small US territory and the whole world realized the US is in desperate need of intervention.",
"role": "user"
},
{
"content": "small US",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@GeraldoRivera @ffweekend > Puerto Ricos police officer plea for help with Hurricane Maria aid via @YouTube
|
Puerto Ricos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@GeraldoRivera @ffweekend > Puerto Ricos police officer plea for help with Hurricane Maria aid via @YouTube",
"role": "user"
},
{
"content": "Puerto Ricos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Only nine of #PuertoRicos 69 hospitals in are on the grid: Hurricane Maria damage and recovery by the numbers.
|
PuertoRicos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Only nine of #PuertoRicos 69 hospitals in are on the grid: Hurricane Maria damage and recovery by the numbers.",
"role": "user"
},
{
"content": "PuertoRicos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Volunteer management & Damage assessment: Hurricane Maria could be a $95 billion storm for Puerto Rico via @CNNMoney
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Volunteer management & Damage assessment: Hurricane Maria could be a $95 billion storm for Puerto Rico via @CNNMoney",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
I got close to the Mexico City office that collapsed and became a tomb. A warning for future quakesand California
|
California Mexico City
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "I got close to the Mexico City office that collapsed and became a tomb. A warning for future quakesand California",
"role": "user"
},
{
"content": "California Mexico City",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @theamadoor: choice to aid those in dire situations such as Hurricane Maria in Puerto Rico and or the earthquake in Mexico, will satisfy
|
Mexico Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @theamadoor: choice to aid those in dire situations such as Hurricane Maria in Puerto Rico and or the earthquake in Mexico, will satisfy",
"role": "user"
},
{
"content": "Mexico Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @nycgov: This weekend, make sure you stop by one of the stations collecting donations for Puerto Rico. #hurrican
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @nycgov: This weekend, make sure you stop by one of the stations collecting donations for Puerto Rico. #hurrican",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Recently, Mexico was hit was by a 7.1 magnitude earthquake. The earthquake caused damage in the Mexican states of
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Recently, Mexico was hit was by a 7.1 magnitude earthquake. The earthquake caused damage in the Mexican states of",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
87% hospitals,95% people w/no electricity, By the numbers: Hurricane Maria damage, recovery in Puerto Rico @usatoday
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "87% hospitals,95% people w/no electricity, By the numbers: Hurricane Maria damage, recovery in Puerto Rico @usatoday",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
When Hurricane Maria slammed into the island of Puerto Rico, it damaged many things and crippled communications.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "When Hurricane Maria slammed into the island of Puerto Rico, it damaged many things and crippled communications.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @ishan_13: Hurricane Marias death toll in Puerto Rico is higher than official count #geek #iosdev #tech
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @ishan_13: Hurricane Marias death toll in Puerto Rico is higher than official count #geek #iosdev #tech",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RSPCAs dog photo spurred students to donate to Dominicas animals #HurricaneIrma #HurricaneMaria @LockerbieColg
|
Dominica
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RSPCAs dog photo spurred students to donate to Dominicas animals #HurricaneIrma #HurricaneMaria @LockerbieColg",
"role": "user"
},
{
"content": "Dominica",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Owner thankful for donations, says they will go a long way in recovery process. @wyffnews4 #SharperImage #HurricaneMaria #PuertoRico
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Owner thankful for donations, says they will go a long way in recovery process. @wyffnews4 #SharperImage #HurricaneMaria #PuertoRico",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Puerto Rico Governor Rossello Press Conference Hurricane Maria Recovery and Relief
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Puerto Rico Governor Rossello Press Conference Hurricane Maria Recovery and Relief",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Asking how to help the people of #puertorico ? Pls fund this! Set up by 15-year-old son of my dear friend Marta.
|
puertorico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Asking how to help the people of #puertorico ? Pls fund this! Set up by 15-year-old son of my dear friend Marta.",
"role": "user"
},
{
"content": "puertorico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
HURRICANE MARIA RELIEF and GIVING SOLAR LIGHT TO PUERTO RICO Thank you everyone for your kind donations! Thats
|
PUERTO RICO
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "HURRICANE MARIA RELIEF and GIVING SOLAR LIGHT TO PUERTO RICO Thank you everyone for your kind donations! Thats",
"role": "user"
},
{
"content": "PUERTO RICO",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Albertans organizing Mexico earthquake relief overwhelmed with support @cbchomestretch #cdnpoli
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Albertans organizing Mexico earthquake relief overwhelmed with support @cbchomestretch #cdnpoli",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @superworldindie: @RunGoldenBoys put together this comp where the money goes to earthquake victims in Mexico. #FuerzaMxico. Excellent h
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @superworldindie: @RunGoldenBoys put together this comp where the money goes to earthquake victims in Mexico. #FuerzaMxico. Excellent h",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Today, @5ChurchCHS is donating proceeds from two menu items to Hurricane Maria relief in Puerto Rico: #chs
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Today, @5ChurchCHS is donating proceeds from two menu items to Hurricane Maria relief in Puerto Rico: #chs",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Sunrise51052: The ports are overflowing with relief supplies, the problem is the corrupt Mayor of San Juan & Teamsters Union. /
|
San Juan
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Sunrise51052: The ports are overflowing with relief supplies, the problem is the corrupt Mayor of San Juan & Teamsters Union. /",
"role": "user"
},
{
"content": "San Juan",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @ClauBee: For Mexico, please donate here FB Thank you, thank you & thank you!!! @anabrendac
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @ClauBee: For Mexico, please donate here FB Thank you, thank you & thank you!!! @anabrendac",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Puerto Rico: Hurricane Maria destroyed everything #puertorico #puerto
|
Puerto Rico puertorico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Puerto Rico: Hurricane Maria destroyed everything #puertorico #puerto",
"role": "user"
},
{
"content": "Puerto Rico puertorico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#UnidosPorPR #HurricaneMaria #donate Help the people of Puerto Rico get back on their feet. @BeatrizRossello
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#UnidosPorPR #HurricaneMaria #donate Help the people of Puerto Rico get back on their feet. @BeatrizRossello",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#Donate #Earthquake #Relief for #Mexico Today until 10:00PM 625 H Street #ChulaVista All items & monetary donations accepted
|
625 H Street Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#Donate #Earthquake #Relief for #Mexico Today until 10:00PM 625 H Street #ChulaVista All items & monetary donations accepted",
"role": "user"
},
{
"content": "625 H Street Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
UCF Today: UCF Provides In-State Tuition Rate to Puerto Rican Students Displaced by Hurricane Maria
|
Puerto Rican
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "UCF Today: UCF Provides In-State Tuition Rate to Puerto Rican Students Displaced by Hurricane Maria",
"role": "user"
},
{
"content": "Puerto Rican",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @FourStarNews: Top general calls Puerto Rico damage the worst hes ever seen | PBS NewsHour #trump #PuertoRic
|
Puerto Rico PuertoRic
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @FourStarNews: Top general calls Puerto Rico damage the worst hes ever seen | PBS NewsHour #trump #PuertoRic",
"role": "user"
},
{
"content": "Puerto Rico PuertoRic",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@BillWeirCNN Two dozen soldiers from Fort Bliss left Saturday night to provide Hurricane Maria relief efforts in Puerto Rico.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@BillWeirCNN Two dozen soldiers from Fort Bliss left Saturday night to provide Hurricane Maria relief efforts in Puerto Rico.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Death toll rises to 360 in Mexico earthquake - Austin American-Statesman
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Death toll rises to 360 in Mexico earthquake - Austin American-Statesman",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane Maria: #Buhari Orders Immediate Evacuation of Nigerian Students in Dominican Island
|
Dominican Island Nigerian
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hurricane Maria: #Buhari Orders Immediate Evacuation of Nigerian Students in Dominican Island",
"role": "user"
},
{
"content": "Dominican Island Nigerian",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@bemeapp @jakerawr Why dont you go to Oaxaca, Mexico? The earthquake was 8.2 there, the biggest in 100 years and theres a lot of people needing help! :)
|
Mexico Oaxaca
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@bemeapp @jakerawr Why dont you go to Oaxaca, Mexico? The earthquake was 8.2 there, the biggest in 100 years and theres a lot of people needing help! :)",
"role": "user"
},
{
"content": "Mexico Oaxaca",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @TG_LatAm_Ed: UPDATED: Mexico Earthquake (Central and Southern) Relief Efforts and Links to Donate via @themexic
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @TG_LatAm_Ed: UPDATED: Mexico Earthquake (Central and Southern) Relief Efforts and Links to Donate via @themexic",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@anvilinvest @allahpundit FEMAprovided 70,000 tarps and 15,000 rolls of roof sheeting to the U.S. Virgin Islands and Puerto Rico since Hurricane Marias landfall
|
Puerto Rico U.S. Virgin Islands
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@anvilinvest @allahpundit FEMAprovided 70,000 tarps and 15,000 rolls of roof sheeting to the U.S. Virgin Islands and Puerto Rico since Hurricane Marias landfall",
"role": "user"
},
{
"content": "Puerto Rico U.S. Virgin Islands",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Cal_OES: California answers the call, sending help to those in need. #HurricaneHarvey #HurricaneMaria #MexicoEa
|
California
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Cal_OES: California answers the call, sending help to those in need. #HurricaneHarvey #HurricaneMaria #MexicoEa",
"role": "user"
},
{
"content": "California",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Back in San Juan where the phone service is dodgy, ELEVEN DAYS after #HurricaneMaria. Places still w/o water. Help if you can.
|
San Juan
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Back in San Juan where the phone service is dodgy, ELEVEN DAYS after #HurricaneMaria. Places still w/o water. Help if you can.",
"role": "user"
},
{
"content": "San Juan",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @StarTribune: Minnesota law officers going to Puerto Rico to help with Hurricane Maria relief
|
Minnesota Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @StarTribune: Minnesota law officers going to Puerto Rico to help with Hurricane Maria relief",
"role": "user"
},
{
"content": "Minnesota Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@mayak46 @gcmcallis @confusiongrows Right now, Im keeping track on the status of Puerto Rico and find out which organisations is aiding them on the Hurricane Maria relief.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@mayak46 @gcmcallis @confusiongrows Right now, Im keeping track on the status of Puerto Rico and find out which organisations is aiding them on the Hurricane Maria relief.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Looking to help & #makeadifference - DONATE to help those effected by #HurricaneMaria #PuertoRico @ColSanIgnacioPR
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Looking to help & #makeadifference - DONATE to help those effected by #HurricaneMaria #PuertoRico @ColSanIgnacioPR",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Damage caused by #HurricaneMaria in #PuertoRico is seen everywhere, especially to trees, lights, and power poles as well as this overpass
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Damage caused by #HurricaneMaria in #PuertoRico is seen everywhere, especially to trees, lights, and power poles as well as this overpass",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@RedCross in Vega Alta #Puerto Rico providing VOIP communications for stricken areas #HurricaneMaria
|
Puerto Rico Vega Alta
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@RedCross in Vega Alta #Puerto Rico providing VOIP communications for stricken areas #HurricaneMaria",
"role": "user"
},
{
"content": "Puerto Rico Vega Alta",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Puerto Rico is still in need of help after Hurricane Maria. Please consider donating money to
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Puerto Rico is still in need of help after Hurricane Maria. Please consider donating money to",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
U.S. military delivered supplies to people in Puerto Rico by chopper on 09/30/17 . This was needed over a week ago and requested days before. Why not sooner and why not more choppers? #HurricaneMaria cc: @tedlieu
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "U.S. military delivered supplies to people in Puerto Rico by chopper on 09/30/17 . This was needed over a week ago and requested days before. Why not sooner and why not more choppers? #HurricaneMaria cc: @tedlieu",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Tocaya Organica restaurant has organized an event to help Model Citizen Funds earthquake relief efforts in Mexico.D
|
Mexico.ἰD
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Tocaya Organica restaurant has organized an event to help Model Citizen Funds earthquake relief efforts in Mexico.D",
"role": "user"
},
{
"content": "Mexico.ἰD",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @threadless: Thanks to @doomrocket_ for supporting @aziritts Artist Shop donating to Earthquake Relief in Mexico! #mexicostrong
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @threadless: Thanks to @doomrocket_ for supporting @aziritts Artist Shop donating to Earthquake Relief in Mexico! #mexicostrong",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Lady Gaga generously donated $1 MILLION to relief efforts for Hurricanes Harvey, Irma, Jos, Maria and the Mexico City earthquake. F
|
Mexico City
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Lady Gaga generously donated $1 MILLION to relief efforts for Hurricanes Harvey, Irma, Jos, Maria and the Mexico City earthquake. F",
"role": "user"
},
{
"content": "Mexico City",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
(Video) Puerto Rico Cop Speaks out about Hurricane Marias Aid
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "(Video) Puerto Rico Cop Speaks out about Hurricane Marias Aid",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#HappeningNow our great #SunsetPark residents are having a donation event for #HurricaneMaria victims on 47st, between 2ave & 3ave.
|
SunsetPark
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#HappeningNow our great #SunsetPark residents are having a donation event for #HurricaneMaria victims on 47st, between 2ave & 3ave.",
"role": "user"
},
{
"content": "SunsetPark",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
NJ state police, New Jersey Emergency Medical Task Force gearing up to go to St. Croix for #Hurricane relief for #HurricaneMaria @6abc
|
NJ New Jersey St. Croix
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "NJ state police, New Jersey Emergency Medical Task Force gearing up to go to St. Croix for #Hurricane relief for #HurricaneMaria @6abc",
"role": "user"
},
{
"content": "NJ New Jersey St. Croix",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@NelsonMRosario @realDonaldTrump Alleged cop calls out PR gov officials from releasing supplies!!!
|
PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@NelsonMRosario @realDonaldTrump Alleged cop calls out PR gov officials from releasing supplies!!!",
"role": "user"
},
{
"content": "PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Hurricane Maria Charity Stream with Gran Turismo 6 Open Lobby at 5:30 CDT! Please come and help our brothers and sisters in Puerto Rico!
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Hurricane Maria Charity Stream with Gran Turismo 6 Open Lobby at 5:30 CDT! Please come and help our brothers and sisters in Puerto Rico!",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Like Hurricane Maria to PR Trump has been a disaster to America. The longer we delay repairing the damage the more devestating the results.
|
America PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Like Hurricane Maria to PR Trump has been a disaster to America. The longer we delay repairing the damage the more devestating the results.",
"role": "user"
},
{
"content": "America PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
A multy-story building damaged during the September 19 earthquake, at one of Mexico Citys most fashionable neighbourhoods. Sept.28 #AFP
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "A multy-story building damaged during the September 19 earthquake, at one of Mexico Citys most fashionable neighbourhoods. Sept.28 #AFP",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Jeres_Rant: Major U.S. labor unions are organizing truck drivers to help with relief efforts in #PuertoRico
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Jeres_Rant: Major U.S. labor unions are organizing truck drivers to help with relief efforts in #PuertoRico",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @paoloigna1: DIstruzione totale BBC and thought you should see it: #PuertoRico: Hurricane Maria destroyed everything -
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @paoloigna1: DIstruzione totale BBC and thought you should see it: #PuertoRico: Hurricane Maria destroyed everything -",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @1o5CleanEnergy: Help us, we are dying says Mayor of San Juan, Puerto Rico #HurricaneMaria Victims of #Cli
|
Puerto Rico San Juan
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @1o5CleanEnergy: Help us, we are dying says Mayor of San Juan, Puerto Rico #HurricaneMaria Victims of #Cli",
"role": "user"
},
{
"content": "Puerto Rico San Juan",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Other efforts are planned to help the residents of Puerto Rico devastated by Hurricane Maria.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Other efforts are planned to help the residents of Puerto Rico devastated by Hurricane Maria.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
5 ways you can help Mexico after the latest deadly earthquake | Thanks to Entrepreneur Magazine for considering ou
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "5 ways you can help Mexico after the latest deadly earthquake | Thanks to Entrepreneur Magazine for considering ou",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Joined Torontos Mexican & Hispanic community in supporting relief efforts for the earthquake that struck Central Mexico last month.
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Joined Torontos Mexican & Hispanic community in supporting relief efforts for the earthquake that struck Central Mexico last month.",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Symbol of hope: Frida the rescue dog goes to work in Mexicos earthquake recovery
|
Mexicos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Symbol of hope: Frida the rescue dog goes to work in Mexicos earthquake recovery",
"role": "user"
},
{
"content": "Mexicos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @ScientologyVM: #MexicoEarthquake Update: Young Girl is Rescued From Her Collapsed School #LosTopos
|
LosTopos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @ScientologyVM: #MexicoEarthquake Update: Young Girl is Rescued From Her Collapsed School #LosTopos",
"role": "user"
},
{
"content": "LosTopos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Answered the call & off to Dominica tomorrow w/ @teamrubicon to help those affected by Hurricane Maria. #OpSisserouSummons #DominicaRelief
|
Dominica
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Answered the call & off to Dominica tomorrow w/ @teamrubicon to help those affected by Hurricane Maria. #OpSisserouSummons #DominicaRelief",
"role": "user"
},
{
"content": "Dominica",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @politstrip: More people died in #SanDiego from #HepatitisA than in #PuertoRico from #HurricaneMaria A
|
PuertoRico SanDiego
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @politstrip: More people died in #SanDiego from #HepatitisA than in #PuertoRico from #HurricaneMaria A",
"role": "user"
},
{
"content": "PuertoRico SanDiego",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @nbcbayarea: Death toll following magnitude 7.1 earthquake in Mexico rises to 361.
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @nbcbayarea: Death toll following magnitude 7.1 earthquake in Mexico rises to 361.",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @MoveOn: You can follow the growth thermometer for Puerto Rico on our homepage. Donate here:
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @MoveOn: You can follow the growth thermometer for Puerto Rico on our homepage. Donate here:",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Rumors are FALSE! -- Teamsters organize truckers to move supplies in Puerto Rico / CNN Money
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Rumors are FALSE! -- Teamsters organize truckers to move supplies in Puerto Rico / CNN Money",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Puerto Rico: Hurricane Maria destroyed everything #news
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Puerto Rico: Hurricane Maria destroyed everything #news",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Death toll from Mexicos 7.1-magnitude earthquake rises to 361 as another casualty is confirmed in the capital.
|
Mexicos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Death toll from Mexicos 7.1-magnitude earthquake rises to 361 as another casualty is confirmed in the capital.",
"role": "user"
},
{
"content": "Mexicos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@IIIM_G_W_VIII An aerial view shows water pouring out of the damaged Guajataca dam in the aftermath of Hurricane Maria
|
Guajataca
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@IIIM_G_W_VIII An aerial view shows water pouring out of the damaged Guajataca dam in the aftermath of Hurricane Maria",
"role": "user"
},
{
"content": "Guajataca",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Mexicos 19S Earthquake: The Rescue Efforts At The Chimalpopoca Factory via @YouTube
|
Mexicos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Mexicos 19S Earthquake: The Rescue Efforts At The Chimalpopoca Factory via @YouTube",
"role": "user"
},
{
"content": "Mexicos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Osirisdleon: Collapsed School in Mexico Earthquake Is Checked for Hidden Defects - The New York Times
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Osirisdleon: Collapsed School in Mexico Earthquake Is Checked for Hidden Defects - The New York Times",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @Embamexru: Some suggestions on ways to donate from the UK for #MexicoEarthquake relief: #FuerzaMxico /
|
UK
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @Embamexru: Some suggestions on ways to donate from the UK for #MexicoEarthquake relief: #FuerzaMxico /",
"role": "user"
},
{
"content": "UK",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
500 potentially damaged structures in Coatetelco, Miacatlan Municipality, Morelos State, Mexico #Mexicoearthquake
|
Coatetelco Mexico Miacatlan Morelos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "500 potentially damaged structures in Coatetelco, Miacatlan Municipality, Morelos State, Mexico #Mexicoearthquake",
"role": "user"
},
{
"content": "Coatetelco Mexico Miacatlan Morelos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Arkansas group is collecting supplies to help hurricane survivors rebuild since Hurricane Maria hit the island.
|
Arkansas
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Arkansas group is collecting supplies to help hurricane survivors rebuild since Hurricane Maria hit the island.",
"role": "user"
},
{
"content": "Arkansas",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#OneArmy - @USArmyReserve #Soldiers, @fema Providing Food, Water in Ceiba, #PuertoRico, for #HurricaneMaria Relief |
|
Ceiba PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#OneArmy - @USArmyReserve #Soldiers, @fema Providing Food, Water in Ceiba, #PuertoRico, for #HurricaneMaria Relief |",
"role": "user"
},
{
"content": "Ceiba PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Please donate if you can or share this link!! @HSCSLSU is raising money to assist Puerto Rican citizens
|
Puerto Rican
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Please donate if you can or share this link!! @HSCSLSU is raising money to assist Puerto Rican citizens",
"role": "user"
},
{
"content": "Puerto Rican",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
FDA Works To Prevent Global Drug Shortages From Damage To Puerto Rico Factories via @forbes
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "FDA Works To Prevent Global Drug Shortages From Damage To Puerto Rico Factories via @forbes",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
#PuertoRico - power & transmission biggest challenges - our team restoring damaged microwave links on the island #staysafe #HurricaneMaria
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "#PuertoRico - power & transmission biggest challenges - our team restoring damaged microwave links on the island #staysafe #HurricaneMaria",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
TK-18077 (@SonoraTrooper) of the @MexicanGarrison running in the #CorreConmigo 5K. All funds go to help victims of the Mexico Earthquake.
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "TK-18077 (@SonoraTrooper) of the @MexicanGarrison running in the #CorreConmigo 5K. All funds go to help victims of the Mexico Earthquake.",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @USNationalGuard: RT @NCNationalGuard: #NCNG off to PR to help with recovery efforts #HurricaneMaria via @abc11_
|
PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @USNationalGuard: RT @NCNationalGuard: #NCNG off to PR to help with recovery efforts #HurricaneMaria via @abc11_",
"role": "user"
},
{
"content": "PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @kentuckyguard: Soldiers with our 940th MP Co. on their way to the #USVI to assist with #hurricanemaria relief operations. /
|
USVI
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @kentuckyguard: Soldiers with our 940th MP Co. on their way to the #USVI to assist with #hurricanemaria relief operations. /",
"role": "user"
},
{
"content": "USVI",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
I just gave, and so should you. Click the link. Donate generously. #PuertoRico #HurricaneMaria #MexioCityEarthquake
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "I just gave, and so should you. Click the link. Donate generously. #PuertoRico #HurricaneMaria #MexioCityEarthquake",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
An update from @DiscosDiaspora on the situation in Puerto Rico. Includes links to relief funds & fund-raising music:
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "An update from @DiscosDiaspora on the situation in Puerto Rico. Includes links to relief funds & fund-raising music:",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Florida declares state of emergency to aid #PuertoRico
|
Florida PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Florida declares state of emergency to aid #PuertoRico",
"role": "user"
},
{
"content": "Florida PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@fema While citizens of PR is suffering. Puerto Ricos cop tells truth abt Hurricane Marias aid.
|
PR Puerto Ricos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@fema While citizens of PR is suffering. Puerto Ricos cop tells truth abt Hurricane Marias aid.",
"role": "user"
},
{
"content": "PR Puerto Ricos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Im encouraging all Louisianans to participate in a statewide donation drive to help Hurricane #Maria survivors.
|
Louisianans
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Im encouraging all Louisianans to participate in a statewide donation drive to help Hurricane #Maria survivors.",
"role": "user"
},
{
"content": "Louisianans",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@Latam After Mexico earthquake, UF alumni help affected towns via @TheAlligator
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@Latam After Mexico earthquake, UF alumni help affected towns via @TheAlligator",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @julito77: The death toll from #HurricaneMaria in #PuertoRico is not 16. The PR govt and @DHSgov have both said that it will likely ris
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @julito77: The death toll from #HurricaneMaria in #PuertoRico is not 16. The PR govt and @DHSgov have both said that it will likely ris",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @blinkdotla: .@dennismanuel1s images capturing the damage #HurricaneMaria inflicted on #PuertoRico published on @NatGeoPhotos 7D :
|
PuertoRico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @blinkdotla: .@dennismanuel1s images capturing the damage #HurricaneMaria inflicted on #PuertoRico published on @NatGeoPhotos 7D :",
"role": "user"
},
{
"content": "PuertoRico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
RT @NYJewishWeek: Puerto Ricos Jewish community of 1,500, living mostly in San Juan, has largely been spared the worst of the damage: http
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "RT @NYJewishWeek: Puerto Ricos Jewish community of 1,500, living mostly in San Juan, has largely been spared the worst of the damage: http",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Trump has to see this. This destroyed everything. Puerto Rico resident Lesley shows @AleemMaqbool how Hurricane #Maria wrecked her home
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Trump has to see this. This destroyed everything. Puerto Rico resident Lesley shows @AleemMaqbool how Hurricane #Maria wrecked her home",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Only a few more hours to donate to CYC-Fellowship Houses relief drive for Hurricane Maria victims in PR. The shipment leaves at 6 p.m.
|
PR
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Only a few more hours to donate to CYC-Fellowship Houses relief drive for Hurricane Maria victims in PR. The shipment leaves at 6 p.m.",
"role": "user"
},
{
"content": "PR",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Mexicos earthquake victims still need support! If you want to help please donate to this initiative #FuerzaMexico
|
Mexicos
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Mexicos earthquake victims still need support! If you want to help please donate to this initiative #FuerzaMexico",
"role": "user"
},
{
"content": "Mexicos",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Sadly @realDonaldTrump is clueless as to how much damage Hurricane Maria has done not only to Puerto Rico but to his own #POTUS reputation.0
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Sadly @realDonaldTrump is clueless as to how much damage Hurricane Maria has done not only to Puerto Rico but to his own #POTUS reputation.0",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Help fund education, earthquake missions in Mexico! 10% of sales goes to help #lostopos
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Help fund education, earthquake missions in Mexico! 10% of sales goes to help #lostopos",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Today. I just wanted to thank to all rescuers dogs in last earthquake in Mexico, but I want to give condolence to Vagas city @USEmbassyMEX
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Today. I just wanted to thank to all rescuers dogs in last earthquake in Mexico, but I want to give condolence to Vagas city @USEmbassyMEX",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Trump confirms he still plans to visit Puerto Rico tomorrow to assess damage from Hurricane Maria.
|
Puerto Rico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Trump confirms he still plans to visit Puerto Rico tomorrow to assess damage from Hurricane Maria.",
"role": "user"
},
{
"content": "Puerto Rico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Last day to cop VIVA MEXICO tote bags! $22 n all profits (~$19/bag) @FondoUnidoMx s earthquake relief fund! 9
|
MEXICO
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Last day to cop VIVA MEXICO tote bags! $22 n all profits (~$19/bag) @FondoUnidoMx s earthquake relief fund! 9",
"role": "user"
},
{
"content": "MEXICO",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
Florida Blue donates $50,000 to the American Red Cross for those impacted by Hurricane Maria.
|
Florida
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "Florida Blue donates $50,000 to the American Red Cross for those impacted by Hurricane Maria.",
"role": "user"
},
{
"content": "Florida",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
@derekruths We saw your talk in #StrataData. Were working in disaster relief with data for the earthquake in Mexico. Can u follow for a DM?
|
Mexico
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "@derekruths We saw your talk in #StrataData. Were working in disaster relief with data for the earthquake in Mexico. Can u follow for a DM?",
"role": "user"
},
{
"content": "Mexico",
"role": "assistant"
}
] |
You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:
1. Identify all distinct location mentions in the given text.
2. List the locations in alphabetical order.
3. Separate multiple locations with a space.
Location Mentions (LMs) are defined as:
- Geo-points (e.g., landmarks, buildings)
- Geo-lines (e.g., streets, rivers)
- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)
If no valid location mentions are found, respond with " ".
Example:
Input: "I'm at the Eiffel Tower in Paris, France."
Output: Eiffel Tower France Louvre Museum Paris
Input: "Driving down Broadway towards Times Square."
Output: Broadway Times Square
Remember to focus only on extracting and listing the locations.
|
National Guard Plans Relief Efforts as Hurricane Maria Slams Puerto Ri
|
Puerto Ri
|
[
{
"content": "You are an Expert in Location Mention Recognition (LMR) specializing in extracting place names from microblog posts. Your task is to identify and list location mentions according to the following guidelines:\n\n1. Identify all distinct location mentions in the given text.\n2. List the locations in alphabetical order.\n3. Separate multiple locations with a space.\n\nLocation Mentions (LMs) are defined as:\n- Geo-points (e.g., landmarks, buildings)\n- Geo-lines (e.g., streets, rivers)\n- Geo-areas (e.g., parks, neighborhoods, cities, states, countries)\n\nIf no valid location mentions are found, respond with \" \".\n\nExample:\nInput: \"I'm at the Eiffel Tower in Paris, France.\"\nOutput: Eiffel Tower France Louvre Museum Paris\n\nInput: \"Driving down Broadway towards Times Square.\"\nOutput: Broadway Times Square\n\nRemember to focus only on extracting and listing the locations.\n",
"role": "system"
},
{
"content": "National Guard Plans Relief Efforts as Hurricane Maria Slams Puerto Ri",
"role": "user"
},
{
"content": "Puerto Ri",
"role": "assistant"
}
] |
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