Minimax and Neyman–Pearson Meta-Learning for Outlier Languages

Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard


Anthology ID:
2021.findings-acl.106
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1245–1260
Language:
URL:
https://aclanthology.org/2021.findings-acl.106
DOI:
10.18653/v1/2021.findings-acl.106
Bibkey:
Cite (ACL):
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, and Anders Søgaard. 2021. Minimax and Neyman–Pearson Meta-Learning for Outlier Languages. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1245–1260, Online. Association for Computational Linguistics.
Cite (Informal):
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages (Ponti et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.106.pdf
Data
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