| --- |
| 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 |
| --- |
| |
| The SETimes\_sr training corpus contains 86,726 Serbian tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation, named entities and dependency syntax. |
| |
| The dataset contains 3177 training samples, 395 validation samples and 319 test samples |
| across the respective data splits. Each sample represents a sentence and includes the following features: |
| sentence ID ('sent\_id'), sentence text ('text'), list of tokens ('tokens'), list of lemmas ('lemmas'), |
| list of MULTEXT-East tags ('xpos\_tags), list of UPOS tags ('upos\_tags'), |
| list of morphological features ('feats'), list of IOB tags ('iob\_tags') and list of universal dependencies ('uds'). |
| |
| Three dataset configurations are available, namely 'ner', 'upos', and 'ud', with the corresponding features |
| encoded as class labels. If the configuration is not specified, it defaults to 'ner'. |
| |
| If you use this dataset in your research, please cite the following paper: |
| |
| ``` |
| @inproceedings{samardzic-etal-2017-universal, |
| title = "{U}niversal {D}ependencies for {S}erbian in Comparison with {C}roatian and Other {S}lavic Languages", |
| author = "Samard{\v{z}}i{\'c}, Tanja and |
| Starovi{\'c}, Mirjana and |
| Agi{\'c}, {\v{Z}}eljko and |
| Ljube{\v{s}}i{\'c}, Nikola", |
| booktitle = "Proceedings of the 6th Workshop on {B}alto-{S}lavic Natural Language Processing", |
| month = apr, |
| year = "2017", |
| address = "Valencia, Spain", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/W17-1407", |
| doi = "10.18653/v1/W17-1407", |
| pages = "39--44", |
| } |
| ``` |
