Search Results for author: Hayato Atarashi

Found 1 papers, 0 papers with code

Explicit Use of Topicality in Dialogue Response Generation

no code implementations NAACL (ACL) 2022 Takumi Yoshikoshi, Hayato Atarashi, Takashi Kodama, Sadao Kurohashi

In this study, we propose a dialogue system that responds appropriately following the topic by selecting the entity with the highest “topicality.” In topicality estimation, the model is trained through self-supervised learning that regards entities that appear in both context and response as the topic entities.

Response Generation Self-Supervised Learning

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