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@@ -20,4 +20,20 @@ The dataset contains 5462 training samples, 711 validation samples and 725 test
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  Each sample represents a sentence and includes the following features: sentence ID ('sent\_id'),
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  list of tokens ('tokens'), list of normalised tokens ('norms'), list of lemmas ('lemmas'), list of UPOS tags ('upos\_tags'),
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  list of Multext-East tags ('xpos\_tags), list of morphological features ('feats'),
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- and list of IOB tags ('iob\_tags'), which are encoded as class labels.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Each sample represents a sentence and includes the following features: sentence ID ('sent\_id'),
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  list of tokens ('tokens'), list of normalised tokens ('norms'), list of lemmas ('lemmas'), list of UPOS tags ('upos\_tags'),
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  list of Multext-East tags ('xpos\_tags), list of morphological features ('feats'),
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+ and list of IOB tags ('iob\_tags'), which are encoded as class labels.
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+
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+ If you are using this dataset in your research, please cite the following paper:
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+
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+ ```
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+ @article{Miličević_Ljubešić_2016,
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+ title={Tviterasi, tviteraši or twitteraši? Producing and analysing a normalised dataset of Croatian and Serbian tweets},
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+ volume={4},
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+ url={https://revije.ff.uni-lj.si/slovenscina2/article/view/7007},
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+ DOI={10.4312/slo2.0.2016.2.156-188},
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+ number={2},
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+ journal={Slovenščina 2.0: empirical, applied and interdisciplinary research},
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+ author={Miličević, Maja and Ljubešić, Nikola},
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+ year={2016},
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+ month={Sep.},
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+ pages={156–188} }
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+ ```