Mmi01 at The BabyLM Challenge: Linguistically Motivated Curriculum Learning for Pretraining in Low-Resource Settings

Maggie Mi


Anthology ID:
2023.conll-babylm.23
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:
269–278
Language:
URL:
https://aclanthology.org/2023.conll-babylm.23
DOI:
10.18653/v1/2023.conll-babylm.23
Bibkey:
Cite (ACL):
Maggie Mi. 2023. Mmi01 at The BabyLM Challenge: Linguistically Motivated Curriculum Learning for Pretraining in Low-Resource Settings. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 269–278, Singapore. Association for Computational Linguistics.
Cite (Informal):
Mmi01 at The BabyLM Challenge: Linguistically Motivated Curriculum Learning for Pretraining in Low-Resource Settings (Mi, CoNLL 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.conll-babylm.23.pdf