Generating Sentences from Disentangled Syntactic and Semantic Spaces

ACL 2019 Yu BaoHao ZhouShujian HuangLei LiLili MouOlga VechtomovaXinyu DaiJiajun Chen

Variational auto-encoders (VAEs) are widely used in natural language generation due to the regularization of the latent space. However, generating sentences from the continuous latent space does not explicitly model the syntactic information... (read more)

PDF Abstract ACL 2019 PDF ACL 2019 Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet