Update README.md

README.md

@@ -12,16 +12,20 @@ datasets:
 
 # IndoBERT for Indonesian MRC (uncased)
 
-[IndoBERT](https://huggingface.co/indobenchmark/indobert-base-p2) model fine-tuned on [IDK-MRC dataset](https://huggingface.co/datasets/rifkiaputri/idk-mrc) for answering extractive questions in Indonesian. Please refer to [this paper](https://arxiv.org/abs/2210.13778) for more details on the model.
+[IndoBERT](https://huggingface.co/indobenchmark/indobert-base-p2) model fine-tuned on [IDK-MRC dataset](https://huggingface.co/datasets/rifkiaputri/idk-mrc) for answering extractive questions in Indonesian. Please refer to [this paper](https://aclanthology.org/2022.emnlp-main.465/) for more details on the model.
 
 ## Citation Info
 ```bibtex
-@misc{putri2022idk,
-    doi = {10.48550/ARXIV.2210.13778},
-    url = {https://arxiv.org/abs/2210.13778},
-    author = {Putri, Rifki Afina and Oh, Alice},
-    title = {IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension},
-    publisher = {arXiv},
-    year = {2022},
+@inproceedings{putri-oh-2022-idk,
+    title = "{IDK}-{MRC}: Unanswerable Questions for {I}ndonesian Machine Reading Comprehension",
+    author = "Putri, Rifki Afina  and
+      Oh, Alice",
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.465",
+    pages = "6918--6933",
 }
 ```