Papers with short-text conversation task

1 papers
A Discrete CVAE for Response Generation on Short-Text Conversation (D19-1)

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Challenge: Neural conversation models are easy to generate bland and generic responses . however, their improvement of generating high-quality responses is still unsatisfactory .
Approach: They propose to use a discrete latent variable with an explicit semantic meaning to improve the conditional variational autoencoder on short-text conversation.
Outcome: The proposed model outperforms various kinds of generation models under automatic and human evaluations and generates more diverse and informative responses.

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