Text understanding for conversational agent

  • Authors:
  • Daisuke Kawahara;Ryohei Sasano;Sadao Kurohashi

  • Affiliations:
  • University of Tokyo, Tokyo, Japan;University of Tokyo, Tokyo, Japan;University of Tokyo, Tokyo, Japan

  • Venue:
  • IMTCI'04 Proceedings of the Second international conference on Intelligent Media Technology for Communicative Intelligence
  • Year:
  • 2004

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Abstract

This paper describes a text understanding system for conversational agents. The system resolves zero, direct and indirect anaphors in Japanese texts by integrating two sorts of linguistic resources: a hand-annotated corpus with various relations and automatically constructed case frames. The corpus has relevance tags which consist of predicate-argument relations, relations between nouns and coreferences, and is utilised for learning parameters of the system and testing it. The case frames are indispensable knowledge both for detecting zero/indirect anaphors and estimating appropriate antecedents. Our preliminary experiments showed promising results.