Citation added

README.md

@@ -20,4 +20,19 @@ The dataset contains 6339 training samples, 815 validation samples and 785 test
 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 IOB tags ('iob\_tags'), which are encoded as class labels.
+and list of 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} }
+```