Construction and Analysis of Utterance Corpus Incorporating Arbitrary User Information for Personalized Chat-Oriented Dialogue Systems

Abstract

To construct a chat-oriented dialogue system that users will use for a long time, it is important to establish a good relationship between the user and the system. In this paper, aiming to realize a personalizable chat-oriented dialogue system that establishes such a relationship with users by utilizing arbitrary user information naturally in dialogues, we constructed a novel corpus designed to incorporate arbitrary user information into system utterances regardless of the current dialogue topic while retaining appropriateness for the context. We then trained a model to generate appropriate system utterances using the constructed corpus. The results of a subjective evaluation indicated that the model could successfully generate system utterances incorporating arbitrary user information and dialogue context. Furthermore, we integrated our trained model into a dialogue system and validated the effectiveness of system utterances incorporating arbitrary user information and dialogue context through interactive dialogues with users.