Update README.md

README.md

@@ -72,13 +72,38 @@ Follow the steps in `https://github.com/jpcorb20/mediqa-oe` to merge transcripts
 
 If you use this dataset, please cite:
 
-    @article{corbeil2025empowering,
-      title={Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications},
-      author={Corbeil, Jean-Philippe and Abacha, Asma Ben and Michalopoulos, George and Swazinna, Phillip and Del-Agua, Miguel and Tremblay, Jerome and Daniel, Akila Jeeson and Bader, Cari and Cho, Yu-Cheng and Krishnan, Pooja and others},
-      journal={arXiv preprint arXiv:2507.05517},
-      year={2025}
+    @inproceedings{corbeil-etal-2025-empowering,
+        title = "Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications",
+        author = "Corbeil, Jean-Philippe  and
+          Ben Abacha, Asma  and
+          Michalopoulos, George  and
+          Swazinna, Phillip  and
+          Del-Agua, Miguel  and
+          Tremblay, Jerome  and
+          Daniel, Akila Jeeson  and
+          Bader, Cari  and
+          Cho, Kevin  and
+          Krishnan, Pooja  and
+          Bodenstab, Nathan  and
+          Lin, Thomas  and
+          Teng, Wenxuan  and
+          Beaulieu, Francois  and
+          Vozila, Paul",
+        editor = "Potdar, Saloni  and
+          Rojas-Barahona, Lina  and
+          Montella, Sebastien",
+        booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track",
+        month = nov,
+        year = "2025",
+        address = "Suzhou (China)",
+        publisher = "Association for Computational Linguistics",
+        url = "https://aclanthology.org/2025.emnlp-industry.58/",
+        doi = "10.18653/v1/2025.emnlp-industry.58",
+        pages = "859--870",
+        ISBN = "979-8-89176-333-3"
     }
 
+
 ## References
 
 [1] Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation. Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Neal Snider, Thomas Lin, Meliha Yetisgen. Nature Scientific Data, 10, 586 (2023).