Text understanding for conversational agent

Daisuke Kawahara, Ryohei Sasano, Sadao Kurohashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages12-20
Number of pages9
DOIs
Publication statusPublished - Dec 1 2005
EventSecond International Workshop on Intelligent Media Technology for Communicative Intelligence, IMTCI 2004 - Warsaw, Poland
Duration: Sep 13 2004Sep 14 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3490 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherSecond International Workshop on Intelligent Media Technology for Communicative Intelligence, IMTCI 2004
CountryPoland
CityWarsaw
Period9/13/049/14/04

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kawahara, D., Sasano, R., & Kurohashi, S. (2005). Text understanding for conversational agent. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 12-20). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3490 LNAI). https://doi.org/10.1007/11558637_2