ATM: Adversarial-neural Topic Model

Rui Wang, Deyu Zhou, Yulan He

Abstract: Highlights•To our best knowledge, the Adversarial-neural Topic Model (ATM), proposed in this work, is the first attempt to model topics using adversarial training.•The proposed ATM could generate more coherent topics (considering five coherence measures) compared with the state-of-the-art baselines.•In practical, the proposed ATM has good portability for other NLP task with limited modification of the model.