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Study on a structural paraphrase model for improving the readability of texts

Research Project

Project/Area Number 15K12094
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Intelligent informatics
Research InstitutionJapan Advanced Institute of Science and Technology

Principal Investigator

Shimazu Akira  北陸先端科学技術大学院大学, その他, 名誉教授 (60293388)

Co-Investigator(Kenkyū-buntansha) NGUYEN MinhLe  北陸先端科学技術大学院大学, 先端科学技術研究科, 准教授 (30509401)
Project Period (FY) 2015-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords書換え / テキスト構造 / 可読性 / 自然言語処理 / 法令工学
Outline of Final Research Achievements

This study aims to clarify a method for paraphrasing texts structurally to improve the readability towards advanced text-based communication. The study focuses on text structures such as sentence arrangement and logical structure, whereas past studies focus on the number of words, sentences and so on. Analyzing paragraphs of National Pension Act mainly, we formed a structural paraphrase framework from the viewpoint of clarifying requisite-effectuation structures and paraphrasing mechanically. We made a corpus containing original texts, structural paraphrases, morphological structures, requisite-effectuation structures and so on, covering about 300 paragraphs among the Act. We proposed a structural paraphrase method consisting of four stages, showed the possibility by the experiment applying machine learning to the first half stages. We also confirmed the effectiveness of the structural paraphrases by the subjective experiment and the problems in the experiment.

Report

(4 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (6 results)

All 2018 2017 2016

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 1 results,  Acknowledgement Compliant: 1 results) Presentation (4 results) (of which Int'l Joint Research: 4 results)

  • [Journal Article] Recurrent neural network-based models for recognizing requisite and effectuation parts in legal texts2018

    • Author(s)
      Son Truong Nguyen, Minh Le Nguyen, Satoshi Tojo, Ken Satoh, Akira Shimazu
    • Journal Title

      Artificial Intelligence and Law

      Volume: 印刷中 Issue: 2 Pages: 1-31

    • DOI

      10.1007/s10506-018-9225-1

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Unsupervised Keyphrase Extraction: Introducing New Kinds of Words to Keyphrases2016

    • Author(s)
      Tho Thi Ngoc Le , Minh Le Nguyen, Akira Shimazu
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 9992 Pages: 665-671

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] Single and multiple layer BI-LSTM-CRF for recognizing requisite and efectuation parts in legal texts2017

    • Author(s)
      Son Truon Nguyen, Minh Le Nguyen, Ken Satoh, Satoshi Tojo, Akira Shimazu
    • Organizer
      2nd Workshop on Automated Semantic Analysis of Information in Legal Texts
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Structural Paraphrase of Law Paragraphs2017

    • Author(s)
      Akira Shimazu
    • Organizer
      Eleventh International Workshop on Juris-informatics
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Structural Paraphrasing in Japanese Legal Texts2017

    • Author(s)
      Son Truong Nguyen, Minh Le Nguyen, Akira Shimazu, Kiyoaki Shirai
    • Organizer
      Eleventh International Workshop on Juris-informatics
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Recognizing logical parts in legal texts using neural architectures2016

    • Author(s)
      Nguyen Truong Son, Le Minh Nguyen, Ho Bao Quoc, Akira Shimazu
    • Organizer
      The Eighth International Conference on Knowledge and Systems Engineering
    • Place of Presentation
      Hanoi (Vietnam)
    • Year and Date
      2016-10-06
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research

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Published: 2015-04-16   Modified: 2019-03-29  

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