Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings

David Samuel


Anthology ID:
2023.conll-babylm.19
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:
221–237
Language:
URL:
https://aclanthology.org/2023.conll-babylm.19
DOI:
10.18653/v1/2023.conll-babylm.19
Bibkey:
Cite (ACL):
David Samuel. 2023. Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 221–237, Singapore. Association for Computational Linguistics.
Cite (Informal):
Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings (Samuel, CoNLL 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2023.conll-babylm.19.pdf