Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder

Yao Qiu, Jinchao Zhang, Jie Zhou


Anthology ID:
2021.findings-acl.148
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1698–1707
Language:
URL:
https://aclanthology.org/2021.findings-acl.148
DOI:
10.18653/v1/2021.findings-acl.148
Bibkey:
Cite (ACL):
Yao Qiu, Jinchao Zhang, and Jie Zhou. 2021. Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1698–1707, Online. Association for Computational Linguistics.
Cite (Informal):
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder (Qiu et al., Findings 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2021.findings-acl.148.pdf
Code
 FFYYang/CARL_RAR
Data
GLUESSTSST-2