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Sep, 2020
循环一致性对抗训练的神经主题建模
Neural Topic Modeling with Cycle-Consistent Adversarial Training
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Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong
TL;DR
该研究提出了一种使用循环一致对抗训练的话题建模方法,能够发现连贯的话题和根据文档标签发现话题,并在无监督/有监督主题建模和文本分类中实现更好的效果。
Abstract
Advances on
deep generative models
have attracted significant research interest in neural topic modeling. The recently proposed
adversarial-neural topic model
models topics with an adversarially trained generator
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