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1998 Fiscal Year Final Research Report Summary

Information Extraction and Retrieval from Lange Text Data

Research Project

Project/Area Number 08458081
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Intelligent informatics
Research InstitutionKyushu Institute of Technology

Principal Investigator

NOMURA Hirosato  Kyushu Institute of Technology, Department of Artificial Intelligence, Professor, 情報工学部, 教授 (30208392)

Co-Investigator(Kenkyū-buntansha) NAGAI Hidetoshi  Kyushu Institute of Technology, Department of Artificial Intelligence, Assistant, 情報工学部, 助手 (60237485)
NAKAMURA Teigo  Kyushu Institute of Technology, Department of Artificial Intelligence, Lecturer, 情報工学部, 講師 (40198221)
Project Period (FY) 1996 – 1998
KeywordsIntelligent Information Access / Information Extraction / Information Retrieval / Information Summarization
Research Abstract

This research concerns Information Extraction, Information Retrieval, and Information Summarization form a large text data set. The approach is based on a pattern-match processing which utilizes surface characteristics in linguistic representations. This method does not require any heavy linguistic processing and any deep analysis of semantic information while it results in high quality and high speed information processing for Information Extraction, Information Retrieval, and Information Sunmarization.
First of all, we elaborated on a Dialogue System for Information Retrieval. It is possible that a user's request is vague and unclear. We investigated a method for making clear the user's request by providing a cooperative and friendly navigation agent and by incorporating a processing strategy which applies a fuzzy calculation for disambiguation.
Second of all, we studied Information Extraction from News Articles. We investigated several useful strategies for designing templates for pattern-matching. We actually developed a large set of templates from 2000 news articles concerning new products.
Last of all, we analyzed linguistic characteristics of sentence endings and then proposed a semantic model for sentence types. By applying this investigation, we proposed a strategy for producing a text summarization by eliminating unimportant sentences and then combining remaining sentences as an article.
All of the experimental systems developed by ourselves are ready for demonstrations on the Web at out HomePage on the internet.

  • Research Products

    (2 results)

All Other

All Publications (2 results)

  • [Publications] 高尾宜之、永井秀利、中村貞吾、野村浩郷: "複数製品の紹介記事からの製品情報抽出-製品記述パターンの分析-" 情報処理学会研究報告、自然言語処理研究会. 99・2. 117-124 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Y.Takao, H.Nagai, T.Nakamura, H.Nomura: "Information Extraction from Newspaper Articles of Multiple Products" Proc.of Natural Language Processsing Interest Group, Information Processing Society of Japan. Vol.99, No.2. 117-124 (1999)

    • Description
      「研究成果報告書概要(欧文)」より

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Published: 1999-12-08  

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