Host: The Japanese Society for Artificial Intelligence
Name : The 35th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 35
Location : [in Japanese]
Date : June 08, 2021 - June 11, 2021
In order for a dialogue system to provide information and recommendations tailored to the user, it is important to ask the user questions and obtain the necessary information. However, depending on the question, asking it in the middle of a dialogue may disrupt the flow of the conversation or decrease the user’s satisfaction. In this research, we aim to develop a response generation model for a chat-oriented dialogue system that can ask specific questions naturally. Specifically, we constructed a response generation model which generates utterances on the basis of both the dialogue context and the question to be asked. As a result of experiments using dialogue simulation, we confirmed that the proposed model has the potential to ask specific questions while maintaining naturalness.