Grammar induction pretraining for language modeling in low resource contexts

Xuanda Chen, Eva Portelance


Anthology ID:
2023.conll-babylm.5
Volume:
Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Month:
December
Year:
2023
Address:
Singapore
Editors:
Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, Ryan Cotterell
Venue:
CoNLL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
69–73
Language:
URL:
https://aclanthology.org/2023.conll-babylm.5
DOI:
10.18653/v1/2023.conll-babylm.5
Bibkey:
Cite (ACL):
Xuanda Chen and Eva Portelance. 2023. Grammar induction pretraining for language modeling in low resource contexts. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 69–73, Singapore. Association for Computational Linguistics.
Cite (Informal):
Grammar induction pretraining for language modeling in low resource contexts (Chen & Portelance, CoNLL 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.conll-babylm.5.pdf