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--- |
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language: |
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- sr |
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license: |
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- cc-by-sa-4.0 |
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task_categories: |
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- other |
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task_ids: |
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- lemmatization |
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- named-entity-recognition |
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- part-of-speech |
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tags: |
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- structure-prediction |
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- normalization |
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- tokenization |
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--- |
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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. |
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The dataset contains 3177 training samples, 395 validation samples and 319 test samples |
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across the respective data splits. Each sample represents a sentence and includes the following features: |
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sentence ID ('sent\_id'), sentence text ('text'), list of tokens ('tokens'), list of lemmas ('lemmas'), |
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list of MULTEXT-East tags ('xpos\_tags), list of UPOS tags ('upos\_tags'), |
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list of morphological features ('feats'), list of IOB tags ('iob\_tags') and list of universal dependencies ('uds'). |
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Three dataset configurations are available, namely 'ner', 'upos', and 'ud', with the corresponding features |
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encoded as class labels. If the configuration is not specified, it defaults to 'ner'. |
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If you use this dataset in your research, please cite the following paper: |
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|
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``` |
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@inproceedings{samardzic-etal-2017-universal, |
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title = "{U}niversal {D}ependencies for {S}erbian in Comparison with {C}roatian and Other {S}lavic Languages", |
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author = "Samard{\v{z}}i{\'c}, Tanja and |
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Starovi{\'c}, Mirjana and |
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Agi{\'c}, {\v{Z}}eljko and |
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Ljube{\v{s}}i{\'c}, Nikola", |
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booktitle = "Proceedings of the 6th Workshop on {B}alto-{S}lavic Natural Language Processing", |
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month = apr, |
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year = "2017", |
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address = "Valencia, Spain", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/W17-1407", |
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doi = "10.18653/v1/W17-1407", |
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pages = "39--44", |
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} |
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``` |
