A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extracters

Shuyue Stella Li, Beining Xu, Xiangyu Zhang, Hexin Liu, Wenhan Chao, Paola Garcia


Anthology ID:
2023.icnlsp-1.20
Volume:
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023)
Month:
December
Year:
2023
Address:
Online
Editors:
Mourad Abbas, Abed Alhakim Freihat
Venue:
ICNLSP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
200–211
Language:
URL:
https://aclanthology.org/2023.icnlsp-1.20
DOI:
Bibkey:
Cite (ACL):
Shuyue Stella Li, Beining Xu, Xiangyu Zhang, Hexin Liu, Wenhan Chao, and Paola Garcia. 2023. A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extracters. In Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), pages 200–211, Online. Association for Computational Linguistics.
Cite (Informal):
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extracters (Li et al., ICNLSP 2023)
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PDF:
https://aclanthology.org/2023.icnlsp-1.20.pdf