A model of rhetorical structure analysis of Japanese texts and its application to intelligent text processing: A case for a smart help system

Noriko Ito, Toru Sugimoto, Shino Iwashita, Ichiro Kobayashi, Michio Sugeno

Research output: Contribution to journalConference article

Abstract

An algorithms of rhetorical structure analysis of Japanese instructional texts with special reference to wordprocessor help texts and and ways of utilizing the rhetorical structure was proposed. The model was proposed to identify the rhetorical structure of the help texts in the course of providing the response to the user to bring computer closer to the people and make effective use of the existing resources. The model of the rhetorical structure analysis involved two tasks such as, identification of the possible rhetorical relations between given adjacent rhetorical units, and construction of the structure of the units. The rhetorical structure can also be used to find unnecessary text segments and to decide the order of presentation to the user.

Original languageEnglish
Pages (from-to)981-982
Number of pages2
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3157
Publication statusPublished - 2004 Dec 1
Event8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence - Auckland, New Zealand
Duration: 2004 Aug 92004 Aug 13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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