:memo: Update README.md

README.md

@@ -29,9 +29,9 @@ license: cc-by-sa-4.0
 
 ## Dataset Description
 
-- **Homepage: https://github.com/verypluming/JaNLI**
-- **Repository: https://github.com/verypluming/JaNLI**
-- **Paper: https://aclanthology.org/2021.blackboxnlp-1.26/**
+- **Homepage:** https://github.com/verypluming/JaNLI
+- **Repository:** https://github.com/verypluming/JaNLI
+- **Paper:** https://aclanthology.org/2021.blackboxnlp-1.26/
 
 ### Dataset Summary
 
@@ -60,7 +60,7 @@ The dataset uses a total of 158 words (nouns and verbs), which occur more than 2
 ## Additional Information
 
 - [verypluming/JaNLI](https://github.com/verypluming/JaNLI)
-- Hitomi Yanaka, Koji Mineshima, Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference, Proceedings of the 2021 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP2021), 2021.
+- [Hitomi Yanaka, Koji Mineshima, Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference, Proceedings of the 2021 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP2021), 2021.](https://aclanthology.org/2021.blackboxnlp-1.26/)
 
 ### Licensing Information
 
@@ -73,6 +73,7 @@ CC BY-SA 4.0
   author    = {Yanaka, Hitomi and Mineshima, Koji},
   title     = {Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference},
   booktitle = {Proceedings of the 2021 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP2021)},
+  url       = {https://aclanthology.org/2021.blackboxnlp-1.26/},
   year      = {2021},
 }
 ```