Tiny Language Models Enriched with Multimodal Knowledge from Multiplex Networks

Clayton Fields, Osama Natouf, Andrew McMains, Catherine Henry, Casey Kennington


Anthology ID:
2023.conll-babylm.3
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
Venues:
CoNLL | BabyLM | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
47–57
Language:
URL:
https://aclanthology.org/2023.conll-babylm.3/
DOI:
10.18653/v1/2023.conll-babylm.3
Bibkey:
Cite (ACL):
Clayton Fields, Osama Natouf, Andrew McMains, Catherine Henry, and Casey Kennington. 2023. Tiny Language Models Enriched with Multimodal Knowledge from Multiplex Networks. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 47–57, Singapore. Association for Computational Linguistics.
Cite (Informal):
Tiny Language Models Enriched with Multimodal Knowledge from Multiplex Networks (Fields et al., CoNLL-BabyLM 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.conll-babylm.3.pdf