Computer-Generated Conversation Based on Newspaper Headline Interpretation

  • Eriko Yoshimura
  • Seiji Tsuchiya
  • Hirokazu Watabe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6276)

Abstract

While some robot-related research has been done on conversional text, based on greetings and other general types of conversation and utilizing extensive conversation knowledge bases; to date, very little work on conversation involving topical newspaper articles has been done. If robots could engage in conversation on subjects pertaining to current affairs, it is likely they would seem much more appealing and approachable. However, if a robot were to merely read out news mechanically it would lack the conversational flexibility to be an effective communication tool, and the approachability of the robot would be significantly limited. In light of this, the present study investigates the automatic generation of highly expandable conversation sentences using cues taken from news stories.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Eriko Yoshimura
    • 1
  • Seiji Tsuchiya
    • 1
  • Hirokazu Watabe
    • 1
  1. 1.Dept. of Intelligent Information Engineering & Sciences, Faculty of Science and EngineeringDoshisha UniversityKyotoJapan

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