Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models

ACL 2019 Dinghan ShenAsli CelikyilmazYizhe ZhangLiqun ChenXin WangJianfeng GaoLawrence Carin

Variational autoencoders (VAEs) have received much attention recently as an end-to-end architecture for text generation with latent variables. In this paper, we investigate several multi-level structures to learn a VAE model to generate long, and coherent text... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

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.