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README.md

@@ -5,14 +5,21 @@ language:
 - ind
 ---
 
+# nerp
+
 The NERP dataset (Hoesen and Purwarianti, 2018) contains texts collected from several Indonesian news websites with five labels
+
 - PER (name of person)
+
 - LOC (name of location)
+
 - IND (name of product or brand)
+
 - EVT (name of the event)
+
 - FNB (name of food and beverage).
-NERP makes use of the IOB chunking format, just like the TermA dataset.
 
+NERP makes use of the IOB chunking format, just like the TermA dataset.
 
 ## Dataset Usage
 
@@ -20,7 +27,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@inproceedings{hoesen2018investigating,
+```
+@inproceedings{hoesen2018investigating,
   title={Investigating bi-lstm and crf with pos tag embedding for indonesian named entity tagger},
   author={Hoesen, Devin and Purwarianti, Ayu},
   booktitle={2018 International Conference on Asian Language Processing (IALP)},
@@ -36,6 +44,8 @@ Creative Common Attribution Share-Alike 4.0 International
 
 ## Homepage
 
+[https://github.com/IndoNLP/indonlu](https://github.com/IndoNLP/indonlu)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)