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Multi-document Summarization by Taking into account the relation between documents

Research Project

Project/Area Number 16300041
Research Category

Grant-in-Aid for Scientific Research (B)

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

Principal Investigator

OKUMURA Manabu  Tokyo Institute of Technology, Precision and Intelligence Laboratory, Associate Professor, 精密工学研究所, 助教授 (60214079)

Co-Investigator(Kenkyū-buntansha) NANBA Hidetsugu  Hiroshima City University, Faculty of Information Science, Associate Professor, Associate Professor, 情報科学部, 講師 (50345378)
高村 大也  東京工業大学, 精密工学研究所, 助手 (80361773)
Project Period (FY) 2004 – 2006
Project Status Completed (Fiscal Year 2006)
Budget Amount *help
¥14,500,000 (Direct Cost: ¥14,500,000)
Fiscal Year 2006: ¥3,300,000 (Direct Cost: ¥3,300,000)
Fiscal Year 2005: ¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2004: ¥7,500,000 (Direct Cost: ¥7,500,000)
KeywordsMulti-document summarization / Genre identification / cross-document sentence relationships / opinion sentence extraction / 代表性 / 複数テキスト / 複数テキスト要約テキスト / 横断文間関係 / Multi-document summarization / Genre identification / cross-document structure / opinion sentence extraction
Research Abstract

In this research, we develop a multi-document summarization technique than can cope with a document collection of multiple genres. Generally, in multi-document summarization system, it is necessary to collect a text collection to be summarized as a preprocessing. In that process, documents of multiple genres might be grouped as a collection. We need to develop different summarization techniques for collections of different genres. Therefore, in this work, targeting at the following three genres. Web pages, scientific papers, and newspaper articles, that can be considered to be the major genres now, we realize a multi-document summarization technique which can cope with a document collection of multiple genres, by developing the following sub-modules : (1) a module of genre identification, (2) a multi-document summarization module for a document collection of genre, and (3) a module of integrating the summaries produced by the module (2) and generating the final summary.

Report

(4 results)
  • 2006 Annual Research Report   Final Research Report Summary
  • 2005 Annual Research Report
  • 2004 Annual Research Report
  • Research Products

    (6 results)

All 2006

All Journal Article (6 results)

  • [Journal Article] スピンモデルによる単語の感情極性抽出2006

    • Author(s)
      高村大也, 乾 孝司, 奥村 学
    • Journal Title

      情報処理学会論文誌 47・2

      Pages: 627-637

    • NAID

      110004081271

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] テキストを対象とした評価情報の分析に関する研究動向2006

    • Author(s)
      乾 孝司, 奥村 学
    • Journal Title

      自然言語処理論文誌 13.3

      Pages: 201-241

    • NAID

      10018202904

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] 隠れ変数モデルによる複数語表現の感情極性分類2006

    • Author(s)
      高村大也, 乾 孝司, 奥村 学
    • Journal Title

      情報処理学会論文誌 47.11

      Pages: 3021-3031

    • NAID

      110004852731

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] Extracting Semantic Orientations Using Spin Model2006

    • Author(s)
      Hiroya Takamura, Takashi Inui, Manabu Okumura
    • Journal Title

      Journal of Information Processing Society of Japan Vol.47, No.2

      Pages: 627-637

    • NAID

      110004081271

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] A Survey of Sentiment Analysis2006

    • Author(s)
      Takashi Inui, Manabu Okumura
    • Journal Title

      Journal of Natural Language Processing Vol.13, No.3

      Pages: 201-241

    • NAID

      10018202904

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] Latent Variable Models for Semantic Orientations of Phrases2006

    • Author(s)
      Hiroya Takamura, Takashi Inui, Manabu Okumura
    • Journal Title

      Journal of Information Processing Society of Japan Vol.47, No.11

      Pages: 3021-3031

    • NAID

      110004852731

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2006 Final Research Report Summary

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Published: 2004-04-01   Modified: 2016-04-21  

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