A Discrete CVAE for Response Generation on Short-Text Conversation

EMNLP 2019 Jun GaoWei BiXiaojiang LiuJunhui LiGuodong ZhouShuming Shi

Neural conversation models such as encoder-decoder models are easy to generate bland and generic responses. Some researchers propose to use the conditional variational autoencoder(CVAE) which maximizes the lower bound on the conditional log-likelihood on a continuous latent variable... (read more)

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