DeepLo 2022 citation.

README.md

@@ -81,22 +81,24 @@ Permissions beyond the scope of this license may be available at [https://mlrs.r
 
 ## Citation
 
-This work was first presented in [Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese](https://arxiv.org/abs/2205.10517).
+This work was first presented in [Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese](https://aclanthology.org/2022.deeplo-1.10/).
 Cite it as follows: 
 
 ```bibtex
 @inproceedings{BERTu,
-    title       = {Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and {BERT} Models for {M}altese},
-    author      = {Micallef, Kurt and
-                   Gatt, Albert and
-                   Tanti, Marc and
-                   van der Plas, Lonneke and
-                   Borg, Claudia},
-    booktitle   = {Proceedings of the 3rd Workshop on Deep Learning for Low-Resource NLP (DeepLo 2022)},
-    day         = {14},
-    month       = {07},
-    year        = {2022},
-    address     = {Seattle, Washington},
-    publisher   = {Association for Computational Linguistics},
+    title = "Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and {BERT} Models for {M}altese",
+    author = "Micallef, Kurt  and
+              Gatt, Albert  and
+              Tanti, Marc  and
+              van der Plas, Lonneke  and
+              Borg, Claudia",
+    booktitle = "Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing",
+    month = jul,
+    year = "2022",
+    address = "Hybrid",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.deeplo-1.10",
+    doi = "10.18653/v1/2022.deeplo-1.10",
+    pages = "90--101",
 }
 ```