Can we Pretrain a SotA Legal Language Model on a Budget From Scratch?

Joel Niklaus, Daniele Giofre


Anthology ID:
2023.sustainlp-1.11
Volume:
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
Month:
July
Year:
2023
Address:
Toronto, Canada (Hybrid)
Editors:
Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, Ameeta Agrawal
Venue:
sustainlp
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
158–182
Language:
URL:
https://aclanthology.org/2023.sustainlp-1.11
DOI:
10.18653/v1/2023.sustainlp-1.11
Bibkey:
Cite (ACL):
Joel Niklaus and Daniele Giofre. 2023. Can we Pretrain a SotA Legal Language Model on a Budget From Scratch?. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 158–182, Toronto, Canada (Hybrid). Association for Computational Linguistics.
Cite (Informal):
Can we Pretrain a SotA Legal Language Model on a Budget From Scratch? (Niklaus & Giofre, sustainlp 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.sustainlp-1.11.pdf
Video:
 https://aclanthology.org/2023.sustainlp-1.11.mp4