| --- |
| language: |
| - hr |
| license: |
| - cc-by-sa-4.0 |
| task_categories: |
| - other |
| task_ids: |
| - lemmatization |
| - named-entity-recognition |
| - part-of-speech |
| tags: |
| - structure-prediction |
| - normalization |
| - tokenization |
| --- |
| This dataset is based on 3,871 Croatian tweets that were segmented into sentences, tokens, and annotated with normalized forms, lemmas, MULTEXT-East tags (XPOS), UPOS tags and morphological features, and named entities. |
|
|
| The dataset contains 6339 training samples (sentences), 815 validation samples and 785 test samples. |
| Each sample represents a sentence and includes the following features: sentence ID ('sent\_id'), |
| list of tokens ('tokens'), list of normalised tokens ('norms'), list of lemmas ('lemmas'), list of UPOS tags ('upos\_tags'), |
| list of MULTEXT-East tags ('xpos\_tags), list of morphological features ('feats'), |
| and list of named entity IOB tags ('iob\_tags'), which are encoded as class labels. |
|
|
| If you are using this dataset in your research, please cite the following paper: |
|
|
| ``` |
| @article{Miličević_Ljubešić_2016, |
| title={Tviterasi, tviteraši or twitteraši? Producing and analysing a normalised dataset of Croatian and Serbian tweets}, |
| volume={4}, |
| url={https://revije.ff.uni-lj.si/slovenscina2/article/view/7007}, |
| DOI={10.4312/slo2.0.2016.2.156-188}, |
| number={2}, |
| journal={Slovenščina 2.0: empirical, applied and interdisciplinary research}, |
| author={Miličević, Maja and Ljubešić, Nikola}, |
| year={2016}, |
| month={Sep.}, |
| pages={156–188} } |
| ``` |
|
|
