Developing a Dialog System for New Idea Generation Support

摘要

A knowledge-based dialog system gives correct answers; however, it is unsuitable for open-ended input. On the other hand, Eliza makes open-ended conversations, but it gives no new information to its user. We propose a new type of dialog system. Our system lies between the above two dialog systems, and it converses about various topics and gives information related to the user's utterances. This type of dialog is useful for generating new ideas especially when the user has an obscure desire to get information about his or her interest, but no concrete goal. Our system selects an appropriate sentence from a corpus to respond to a user's utterance. The most proper response will have surface cohesion and semantic coherence with the user's utterance. We made a trial system to converse about movies.