Update README.md

README.md

@@ -19,14 +19,16 @@ HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a
 More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)
 
 ```
-@InProceedings{nayak-joshi:2022:WILDRE6,
-  author    = {Nayak, Ravindra  and  Joshi, Raviraj},
-  title     = {L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models},
-  booktitle      = {Proceedings of The WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference},
-  month          = {June},
-  year           = {2022},
-  address        = {Marseille, France},
-  publisher      = {European Language Resources Association},
-  pages     = {7--12}
+@inproceedings{nayak-joshi-2022-l3cube,
+    title = "{L}3{C}ube-{H}ing{C}orpus and {H}ing{BERT}: A Code Mixed {H}indi-{E}nglish Dataset and {BERT} Language Models",
+    author = "Nayak, Ravindra  and
+      Joshi, Raviraj",
+    booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.wildre-1.2",
+    pages = "7--12",
 }
 ```