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Structuralizing and aggregating instances of abstract world knowledge

Research Project

Project/Area Number 16H06614
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeSingle-year Grants
Research Field Intelligent informatics
Research InstitutionTohoku University

Principal Investigator

Inoue Naoya  東北大学, 情報科学研究科, 助教 (80778605)

Project Period (FY) 2016-08-26 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords世界知識 / 自然言語処理 / 推論 / 人工知能 / 談話解析 / 常識推論 / 論述構造解析 / 知識獲得 / 論理推論 / 知識構造化 / ディベート理解
Outline of Final Research Achievements

We have studied core technologies for automatically acquiring world knowledge which makes artificial intelligence smarter, such as causality, from large-scale textual data. We also studied an abductive reasoner which predicts a new hypothesis based on observed facts and world knowledge. Focusing on argumentative texts under such topics as "Should we invest in space exploration?", we developed a computational model to identify the relationship between a claim and premise. We also developed a framework that can perform flexible reasoning by leveraging distributed representations.

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Annual Research Report
  • Research Products

    (12 results)

All 2018 2017 Other

All Int'l Joint Research (1 results) Journal Article (4 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 2 results,  Acknowledgement Compliant: 4 results,  Open Access: 1 results) Presentation (7 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Int'l Joint Research] USC/Institute for Creative Technologies(米国)

    • Related Report
      2016 Annual Research Report
  • [Journal Article] A Scalable Weighted Max-SAT Implementation of Propositional Etcetera Abduction2017

    • Author(s)
      Naoya Inoue and Andrew S. Gordon
    • Journal Title

      Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference

      Volume: -

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
  • [Journal Article] An RNN-based Binary Classifier for the Story Cloze Test2017

    • Author(s)
      Melissa Roemmele, Sosuke Kobayashi, Naoya Inoue and Andrew Gordon
    • Journal Title

      Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics

      Volume: - Pages: 74-78

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
  • [Journal Article] Deep Argumentative Structure Analysis as an Explanation to Argumentative Relations2017

    • Author(s)
      Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui
    • Journal Title

      言語処理学会第23回年次大会論文集

      Volume: - Pages: 38-41

    • Related Report
      2016 Annual Research Report
    • Acknowledgement Compliant
  • [Journal Article] 複単語表現を利用した因果関係推定モデルの改善2017

    • Author(s)
      佐々木翔大, 高瀬翔, 井之上直也, 岡崎直観, 乾健太郎
    • Journal Title

      情報処理学会 自然言語処理研究会報告

      Volume: 2017-NL-231

    • Related Report
      2016 Annual Research Report
    • Acknowledgement Compliant
  • [Presentation] Towards Interpretation as Natural Logic Abduction2018

    • Author(s)
      Naoya Inoue, Pontus Stenetorp, Sebastian Riedel, and Kentaro Inui
    • Organizer
      人工知能学会全国大会 (第32回)
    • Related Report
      2017 Annual Research Report
  • [Presentation] Identifying Current Issues in Short Answer Grading2018

    • Author(s)
      Tianqi Wang, Tomoya Mizumoto, Naoya Inoue, and Kentaro Inui
    • Organizer
      言語処理学会第24回年次大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] Towards Exploiting Argumentative Context for Argumentative Relation Identification2018

    • Author(s)
      Tatsuki Kuribayashi, Paul Reisert, Naoya Inoue, and Kentaro Inui
    • Organizer
      言語処理学会第24回年次大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 情報科学論文における問題解決手法と評価表現の付与仕様の検討2018

    • Author(s)
      白井 穂乃, 井之上 直也
    • Organizer
      人工知能学会全国大会 (第32回)
    • Related Report
      2017 Annual Research Report
  • [Presentation] Encoder-Decoder Abduction: Flexible Abductive Reasoning with Distributed Representations2018

    • Author(s)
      Naoya Inoue
    • Organizer
      第4回 Language & Robotics 研究会
    • Related Report
      2017 Annual Research Report
    • Invited
  • [Presentation] Examining Macro-level Argumentative Structure Features for Argumentative Relation Identification2017

    • Author(s)
      Tatsuki Kuribayashi, Paul Reisert, Naoya Inoue, and Kentaro Inui
    • Organizer
      情報処理学会 自然言語処理研究会 (SIGNL234)
    • Related Report
      2017 Annual Research Report
  • [Presentation] Handling Multiword Expressions in Causality Estimation2017

    • Author(s)
      Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui
    • Organizer
      12th International Conference on Computational Semantics (IWCS)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research

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Published: 2016-09-02   Modified: 2022-01-28  

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