PEGASUS: a spoken dialogue interface for on-line air travel planning
ISSD-93 Selected papers presented at the international symposium on Spoken dialogue
ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Japanese discourse and the process of centering
Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Improving Japanese zero pronoun resolution by global word sense disambiguation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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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.