|
--- |
|
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} } |
|
``` |
