Update model card

README.md

@@ -11,12 +11,16 @@ datasets:
 Proc-RoBERTa is a pre-trained language model for procedural text. It was built by fine-tuning the RoBERTa-based model on a procedural corpus (PubMed articles/chemical patents/cooking recipes), which contains 1.05B tokens. More details can be found in the following [paper](https://arxiv.org/abs/2109.04711):
 
 ```
-@article{Bai2021PretrainOA,
-  title={Pre-train or Annotate? Domain Adaptation with a Constrained Budget},
-  author={Fan Bai and Alan Ritter and Wei Xu},
-  journal={ArXiv},
-  year={2021},
-  volume={abs/2109.04711}
+@inproceedings{bai-etal-2021-pre,
+    title = "Pre-train or Annotate? Domain Adaptation with a Constrained Budget",
+    author = "Bai, Fan  and
+      Ritter, Alan  and
+      Xu, Wei",
+    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2021",
+    address = "Online and Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
 }
 ```