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://preview.aclanthology.org/Author-page-Marten-During-lu/2023.icnlsp-1.20/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/Author-page-Marten-During-lu/2023.icnlsp-1.20.pdf