Text understanding for conversational agent

Daisuke Kawahara; Ryohei Sasano; Sadao Kurohashi

doi:10.1007/11558637_2

Text understanding for conversational agent

Daisuke Kawahara^*, Ryohei Sasano, Sadao Kurohashi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	12-20
Number of pages	9
DOIs	https://doi.org/10.1007/11558637_2
Publication status	Published - 2005
Externally published	Yes
Event	Second International Workshop on Intelligent Media Technology for Communicative Intelligence, IMTCI 2004 - Warsaw, Poland Duration: 2004 Sept 13 → 2004 Sept 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3490 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Second International Workshop on Intelligent Media Technology for Communicative Intelligence, IMTCI 2004
Country/Territory	Poland
City	Warsaw
Period	04/9/13 → 04/9/14

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11558637_2

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

Text understanding for conversational agent. / Kawahara, Daisuke; Sasano, Ryohei; Kurohashi, Sadao.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 12-20 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3490 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3490 LNAI, pp. 12-20, Second International Workshop on Intelligent Media Technology for Communicative Intelligence, IMTCI 2004, Warsaw, Poland, 04/9/13. https://doi.org/10.1007/11558637_2

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

Kawahara, Daisuke ; Sasano, Ryohei ; Kurohashi, Sadao. / Text understanding for conversational agent. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 12-20 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Text understanding for conversational agent

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