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2011 Fiscal Year Final Research Report

Searching for Semantic Relations between Entities on the Web

Research Project

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Project/Area Number 22800010
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeSingle-year Grants
Research Field Intelligent informatics
Research InstitutionThe University of Tokyo

Principal Investigator

BOLLEGALA Danushka  東京大学, 大学院・情報理工学系研究科, 講師 (10581712)

Project Period (FY) 2010 – 2011
Keywords関係検索 / ウェブ工学 / ウェブマイニング / 情報抽出
Research Abstract

In this research, I developed a search system that can search for the semantic relations between named entities. In particular, I focused on the symmetries that exist in proportional analogies to accurately estimate the relational similarity between two pairs of entities. Moreover, algorithms were developed to accurately rank the search results using relational similarity. The outcome of this project was presented at AAAI 2011 and published in Elsevier Information Processing and Management Journal.

  • Research Products

    (9 results)

All 2012 2011 Other

All Journal Article (4 results) (of which Peer Reviewed: 3 results) Presentation (3 results) Remarks (2 results)

  • [Journal Article] Minimally Supervised Novel Relation Extraction using Latent Relational Mapping2012

    • Author(s)
      Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka
    • Journal Title

      IEEE Transactions on Knowledge and Data Engineering(TKDE)

      Volume: Issue 99(Early Access)

    • Peer Reviewed
  • [Journal Article] 関係の対称性および予測語を用いた関係検索の性能向上法2011

    • Author(s)
      後藤友和, Nguyen Tuan Duc, Danushka Bollegala, and Mitsuru Ishizuka
    • Journal Title

      人工知能学会論文誌

      Volume: Vol.26, no.6 Pages: 649-656

  • [Journal Article] Improving Relational Similarity Measurement using Symmetries in Proportional Word Analogies

    • Author(s)
      Danushka Bollegala, Tomokazu Goto, Nguyen Tuan Duc, and Mitsuru Ishizuka
    • Journal Title

      Information Processing and Management, Elsevier

      Volume: (採択済み,近日公開)

    • Peer Reviewed
  • [Journal Article] Cross-Language Latent Relational Search between Japanese and English Languages using a Web Corpus

    • Author(s)
      Nguyen Tuan Duc, Danushka Bollegala, and Mitsuru Ishizuka
    • Journal Title

      ACM Transactions on Asian Language Information Processing(TALIP)

      Volume: (採択済み,近日公開)

    • Peer Reviewed
  • [Presentation] Cross-Language Latent Relational Search : Mapping Knowledge across Languages2011

    • Author(s)
      Nugyen Duc, Danushka Bollegala, and Mitsuru Ishizuka
    • Organizer
      Proceedings of the 25th National Conference on Artificial Intelligence(AAAI 2011)
    • Place of Presentation
      San Francisco, USA
    • Year and Date
      20110000
  • [Presentation] Relation Adaptation : Learning to Extract Novel Relations with Minimum Supervision2011

    • Author(s)
      Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka
    • Organizer
      Proceedings of the 22nd International Joint Conference on Artificial Intelligence(IJCAI 2011)
    • Place of Presentation
      Barcelona, Spain
    • Year and Date
      20110000
  • [Presentation] From Actors, Politicians, to CEOs : Domain Adaptation of Relational Extractors using a Latent Relational Mapping2011

    • Author(s)
      Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka
    • Organizer
      Proceedings of the 20th International World Wide Web Conference(WWW 2011) poster session
    • Place of Presentation
      Hyderabad, India
    • Year and Date
      20110000
  • [Remarks]

    • URL

      http://www.iba.t.u-tokyo.ac.jp/~danushka/

  • [Remarks]

    • URL

      http://www.milresh.com/

URL: 

Published: 2013-07-31  

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