Update README.md

README.md

@@ -30,8 +30,19 @@ model = AutoModelForMaskedLM.from_pretrained("jannikskytt/MeDa-Bert")
 ### Citing
 
 ```
-MeDa-BERT: A medical Danish pretrained transformer model,
-Jannik Pedersen, Martin Laursen, Pernille Vinholt, and Thiusius Rajeeth Savarimuthu,
-In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) 2023,
-pages 301–307, Tórshavn, Faroe Islands.
+@inproceedings{pedersen-etal-2023-meda,
+    title = "{M}e{D}a-{BERT}: A medical {D}anish pretrained transformer model",
+    author = "Pedersen, Jannik  and
+      Laursen, Martin  and
+      Vinholt, Pernille  and
+      Savarimuthu, Thiusius Rajeeth",
+    booktitle = "Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)",
+    month = may,
+    year = "2023",
+    address = "T{\'o}rshavn, Faroe Islands",
+    publisher = "University of Tartu Library",
+    url = "https://aclanthology.org/2023.nodalida-1.31",
+    pages = "301--307",
+    abstract = "This paper introduces a medical Danish BERT-based language model (MeDa-BERT) and medical Danish word embeddings. The word embeddings and MeDa-BERT were pretrained on a new medical Danish corpus consisting of 133M tokens from medical Danish books and text from the internet. The models showed improved performance over general-domain models on medical Danish classification tasks. The medical word embeddings and MeDa-BERT are publicly available.",
+}
 ```