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.

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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, Jiandong Ding
Venue
Findings of the Association for Computational Linguistics (ACL Findings '23)
Year
2023
Area
Data Mining