Update README.md

README.md

@@ -25,7 +25,7 @@ task_ids:
 ---
 
 # CNER: Concept and Named Entity Recognition
-This is the model card for the NAACL 2024 paper [CNER: Concept and Named Entity Recognition](https://aclanthology.org/todo/). 
+This is the model card for the NAACL 2024 paper [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/). 
 We fine-tuned a language model (DeBERTa-v3-base) for 1 epoch on our [CNER dataset](https://huggingface.co/datasets/Babelscape/cner)
 The resulting CNER model is able to jointly identifing and classifying concepts and named entities with fine-grained tags.
 
@@ -33,17 +33,22 @@ The resulting CNER model is able to jointly identifing and classifying concepts
 
 ```bibtex
 @inproceedings{martinelli-etal-2024-cner,
-    title = "CNER: Concept and Named Entity Recognition",
-    author = "Martinelli, Giuliano and
-      Molfese, Francesco and
-      Tedeschi, Simone and
-      Fernández-Castro, Alberte and
+    title = "{CNER}: Concept and Named Entity Recognition",
+    author = "Martinelli, Giuliano  and
+      Molfese, Francesco  and
+      Tedeschi, Simone  and
+      Fern{\'a}ndez-Castro, Alberte  and
       Navigli, Roberto",
-    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: NAACL 2024",
+    editor = "Duh, Kevin  and
+      Gomez, Helena  and
+      Bethard, Steven",
+    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
     month = jun,
-    year = "2023",
+    year = "2024",
     address = "Mexico City, Mexico",
     publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2024.naacl-long.461",
+    pages = "8329--8344",
 }
 ```