Papers by Shuying Zhang

1 papers
Topic-relevant Response Generation using Optimal Transport for an Open-domain Dialog System (2020.coling-main)

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Challenge: Conventional neural generative models generate safe and generic responses which have little connection with previous utterances semantically and would disengage users in a dialog system.
Approach: They propose a method that employs topical constraint and semantic constraint to generate relevant responses by regularizing the decoding objective function with semantic distance.
Outcome: The proposed method generates more topic-relevant and content-rich responses than conventional models.

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