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Developing a Dialog System for New Idea Generation Support

  • Masahiro Shibata
  • Yoichi Tomiura
  • Hideki Matsumoto
  • Tomomi Nishiguchi
  • Kensei Yukino
  • Akihiro Hino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4285)

Abstract

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.

Keywords

Noun Phrase Trial System Centralness Ranking Surface Cohesion Dialog System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Masahiro Shibata
    • 1
  • Yoichi Tomiura
    • 2
  • Hideki Matsumoto
    • 3
  • Tomomi Nishiguchi
    • 2
  • Kensei Yukino
    • 2
  • Akihiro Hino
    • 4
  1. 1.Kyushu University Venture Business LaboratoryFukuokaJapan
  2. 2.Graduate School of Information Science and Electrical EngineeringKyushu UniversityNishi-ku FukuokaJapan
  3. 3.Research and Development CenterToshibaJapan
  4. 4.Level-5 Inc.FukuokaJapan

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