Update README.md

README.md

@@ -17,3 +17,17 @@ HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a
 [dataset link] (https://github.com/l3cube-pune/code-mixed-nlp)
 
 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},
+  url       = {https://aclanthology.org/2022.wildre6-1.2}
+}
+```