Update README.md

README.md

@@ -61,5 +61,20 @@ The model achieves a micro-F1 score of 0.873, macro-F1 of 0.471 and a weighted-F
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
-
-TBP, please see above
+```
+@inproceedings{rovera-etal-2023-italian,
+    title = "{I}talian Legislative Text Classification for Gazzetta Ufficiale",
+    author = "Rovera, Marco  and
+      Palmero Aprosio, Alessio  and
+      Greco, Francesco  and
+      Lucchese, Mariano  and
+      Tonelli, Sara  and
+      Antetomaso, Antonio",
+    booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2023",
+    year = "2023",
+    address = "Singapore",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2023.nllp-1.6",
+    pages = "44--50"
+}
+```