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README.md

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 A Romanian BERT model, initialized from [bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) and pretrained on the [MARCELL v2.0 corpus](https://elrc-share.eu/repository/browse/marcell-romanian-legislative-subcorpus-v2/2da548428b9d11eb9c1a00155d026706ce94a6b59ffc4b0e9fb5cd9cebe6889e/) of legal documents for 24h with the principles following the paper by Peter Izsak, Moshe Berchansky, Omer Levy, [How to Train BERT with an Academic Budget](https://aclanthology.org/2021.emnlp-main.831.pdf) 
+
+See more in: https://github.com/senisioi/rolegal
+
+
+```
+@inproceedings{ceausu-nisioi-2022-identifying,
+    title = "Identifying Draft Bills Impacting Existing Legislation: a Case Study on {R}omanian",
+    author = "Ceausu, Corina  and
+      Nisioi, Sergiu",
+    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.lrec-1.391",
+    pages = "3670--3674",
+}
+
+```