Update README.md

README.md

@@ -88,9 +88,10 @@ This dataset tests the capabilities of language models to correctly capture the
 
 We used probabilitic soft logic to combine probabilistic statements expressed with WEP (WEP-Reasoning) and we also used the UNLI dataset (https://nlp.jhu.edu/unli/) to directly check whether models can detect the WEP matching human-annotated probabilities.
 The dataset can be used as natural language inference data (context, premise, label) or multiple choice question answering (context,valid_hypothesis, invalid_hypothesis).
-Code : https://colab.research.google.com/drive/10ILEWY2-J6Q1hT97cCB3eoHJwGSflKHp?usp=sharing
 
-*Accepted at Starsem2023* (The 12th Joint Conference on Lexical and Computational Semantics). Temporary citation:
+Code : [colab](https://colab.research.google.com/drive/10ILEWY2-J6Q1hT97cCB3eoHJwGSflKHp?usp=sharing)
+
+**Accepted at Starsem2023** (The 12th Joint Conference on Lexical and Computational Semantics). Temporary citation:
 
 ```bib
 @article{sileo2022probing,