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README.md

@@ -5,13 +5,19 @@ language:
 - ind
 ---
 
+# term_a
+
 TermA is a span-extraction dataset collected from the hotel aggregator platform, AiryRooms
+
 (Septiandri and Sutiono, 2019; Fernando et al.,
+
 2019) consisting of thousands of hotel reviews,each containing a span label for aspect
+
 and sentiment words representing the opinion of the reviewer on the corresponding aspect.
+
 The labels use Inside-Outside-Beginning tagging (IOB) with two kinds of tags, aspect and
-sentiment.
 
+sentiment.
 
 ## Dataset Usage
 
@@ -19,7 +25,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@article{winatmoko2019aspect,
+```
+@article{winatmoko2019aspect,
   title={Aspect and opinion term extraction for hotel reviews using transfer learning and auxiliary labels},
   author={Winatmoko, Yosef Ardhito and Septiandri, Ali Akbar and Sutiono, Arie Pratama},
   journal={arXiv preprint arXiv:1909.11879},
@@ -41,6 +48,8 @@ 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)