Update README.md

README.md

@@ -42,7 +42,7 @@ We have fine-tuned all pre-trained models on 3 legal tasks with Indian datasets:
 * Semantic Segmentation ([ISS Dataset](https://arxiv.org/abs/1911.05405))[Sentence Tagging]: Segmenting the document into 7 functional parts (semantic segments) such as Facts, Arguments, etc.
 * Court Judgment Prediction ([ILDC Dataset](https://arxiv.org/abs/2105.13562))[Binary Text Classification]: Predicting whether the claims/petitions of a court case will be accepted/rejected
 
-This InLegalBERT beats LegalBERT as well as all other baselines/variants we have used. For details, see our [paper](https://arxiv.org/abs/2209.06049).
+InLegalBERT beats LegalBERT as well as all other baselines/variants we have used, across all three tasks. For details, see our [paper](https://arxiv.org/abs/2209.06049).
 
 ### Citation
 ```
@@ -55,7 +55,6 @@ This InLegalBERT beats LegalBERT as well as all other baselines/variants we have
   year = {2022},
   copyright = {Creative Commons Attribution 4.0 International}
 }
-
 ```
 
 ### About Us
@@ -67,4 +66,4 @@ We have, and are currently working on several legal tasks such as:
 * legal statute identification from facts, court judgment prediction
 * legal document matching
 
-You can find our publicly available codes and datasets [here](https://github.com/Law-AI) 
+You can find our publicly available codes and datasets [here](https://github.com/Law-AI).