Papers with Adaptive Neural Dialogue generation model

1 papers
Adaptive Parameterization for Neural Dialogue Generation (D19-1)

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Challenge: Existing models of open-domain dialogue generate responses based on sequence-to-sequence paradigms.
Approach: They propose an Adaptive Neural Dialogue generation model which manages various conversations with conversation-specific parameterization.
Outcome: The proposed model performs better on a large-scale conversational dataset.

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