Citing information added

README.md

@@ -17,13 +17,34 @@ task_ids:
 
 ---
 
-SETimes\_sr is a Serbian dataset annotated for morphosyntactic information and named entities.
+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 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'.
+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",
+    abstract = "The paper documents the procedure of building a new Universal Dependencies (UDv2) treebank for Serbian starting from an existing Croatian UDv1 treebank and taking into account the other Slavic UD annotation guidelines. We describe the automatic and manual annotation procedures, discuss the annotation of Slavic-specific categories (case governing quantifiers, reflexive pronouns, question particles) and propose an approach to handling deverbal nouns in Slavic languages.",
+}
+```