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)

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