Automatic detection of illogical adjective phrase based on commonsense for computer conversation

  • Authors:
  • Eriko Yoshimura;Misako Imono;Seiji Tsuchiya;Hirokazu Watabe

  • Affiliations:
  • Department of Intelligent Information Engineering and Sciences, Faculty of Science and Engineering, Doshisha University, Kyo-Tanabe, Kyoto, Japan;Department of Information and Computer Science, Graduate School of Engineering, Doshisha University, Kyo-Tanabe, Kyoto, Japan;Department of Intelligent Information Engineering and Sciences, Faculty of Science and Engineering, Doshisha University, Kyo-Tanabe, Kyoto, Japan;Department of Intelligent Information Engineering and Sciences, Faculty of Science and Engineering, Doshisha University, Kyo-Tanabe, Kyoto, Japan

  • Venue:
  • International Journal of Knowledge-based and Intelligent Engineering Systems - Intelligent Information Processing: Techniques and Applications
  • Year:
  • 2012

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Abstract

This paper proposes a technique for judging illogical word combinations by creating a knowledge model of human discourse and words. We focused on a relation of nouns and adjective phrases. Then the knowledge structure of how to use nouns and adjective phrases is modeled by arranging the relation in a point of wrongness. Also, this paper proposes a technique for detection relation of nouns and adjective phrases by creating a knowledge model from generation of response sentences. This paper discusses detecting method illogical combinations of words. We showed that this technique was able to very accurately judge illogical usages with 87% accuracy, thus demonstrating the effectiveness of the technique.