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.