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Martinez Pascual  マルティネス パスクアル

ORCIDConnect your ORCID iD *help
Researcher Number 70739119
Affiliation (based on the past Project Information) *help 2017 – 2018: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員
2016: 国立研究開発法人産業技術総合研究所, 人工知能研究センター, 研究員
Review Section/Research Field
Principal Investigator
Intelligent informatics
Keywords
Principal Investigator
機械学習 / アルゴリズム / synchronous grammars / Tree-to-tree mappings / complexity / tree transducers / semantic parsing / question answering
  • Research Projects

    (1 results)
  • Research Products

    (7 results)
  •  Tree Transducers for Question-Answering over Large DatabasesPrincipal Investigator

    • Principal Investigator
      Martinez Pascual
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology

All 2017 2016

All Journal Article Presentation

  • [Journal Article] Characterization of a Tree Mapping Algorithm for Tree-to-Tree Transducer Induction2017

    • Author(s)
      Pascual Martinez-Gomez, Yusuke Miyao
    • Journal Title

      In Proc. of the 31st Annual Conference of the Japanese Society for Artificial Intelligence

      Volume: -

    • NAID

      130007423721

    • Open Access
    • Data Source
      KAKENHI-PROJECT-16K16111
  • [Journal Article] Controlling Expressiveness of Question Interpretation with a Constrained Tree Transducer Induction.2017

    • Author(s)
      Pascual Martinez-Gomez, Yusuke Miyao
    • Journal Title

      In Proc. of Open Knowledge Base and Question Answering Workshop at SIGIR 2017 (OKBQA)

      Volume: - Pages: 1-5

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16111
  • [Journal Article] Rule Extraction for Tree-to-Tree Transducers by Cost Minimization2016

    • Author(s)
      Pascual Martinez-Gomez
    • Journal Title

      Conference on Empirical Methods in Natural Language Processing

      Volume: 2016 Pages: 12-22

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16111
  • [Presentation] Controlling Expressiveness of Question Interpretation with a Constrained Tree Transducer Induction2017

    • Author(s)
      Pascual Martinez-Gomez
    • Organizer
      In Proc. of Open Knowledge Base and Question Answering Workshop at SIGIR 2017 (OKBQA)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16111
  • [Presentation] Characterization of a Tree Mapping Algorithm for Tree-to-Tree Transducer Induction2017

    • Author(s)
      Pascual Martinez-Gomez
    • Organizer
      In Proc. of the 31st Annual Conference of the Japanese Society for Artificial Intelligence
    • Data Source
      KAKENHI-PROJECT-16K16111
  • [Presentation] Tree transducer induction for Question-Answering over Large Knowledge Bases2016

    • Author(s)
      Pascual Martinez-Gomezv
    • Organizer
      Young Researchers Symposium on Natural Language Processing (YRSNLP)
    • Place of Presentation
      the Osaka International Convention Center, Osaka, Japan
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16111
  • [Presentation] Rule Extraction for Tree-to-Tree Transducers by Cost Minimization2016

    • Author(s)
      Pascual Martinez-Gomez
    • Organizer
      Conference on Empirical Methods in Natural Language Processing
    • Place of Presentation
      Hilton Austin, Westin Hotel, Austin, Texas, USA
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16111

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