Digest: Neural Topic Modeling Based on Cycle Adversarial Training and Contrastive Learning
ACL Findings 2023 / Data Mining
Neural Topic Modeling Based on Cycle Adversarial Training and Contrastive Learning
A neural topic modeling paper that combines cycle adversarial training and contrastive learning to improve topic representations.
Research area
Weak supervision, robust learning, topic modeling, continual graph learning, and digital business experiments form the modern method line.
Publication record
- Authors
- B Wang, L Zhang, D Zhou, Y Cao, J Ding
- Venue
- Findings of the Association for Computational Linguistics: ACL 2023
- Year
- 2023
- Area
- Data Mining