| | --- |
| | language: |
| | - sr |
| | 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 3,748 Serbian 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 5462 training samples (sentences), 711 validation samples and 725 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} } |
| | ``` |
