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Distributional semantic models: Deepening the methodology of cognitive modeling and exploring cognitive processes in human semantic memory

Research Project

Project/Area Number 15H02713
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Cognitive science
Research InstitutionThe University of Electro-Communications

Principal Investigator

Utsumi Akira  電気通信大学, 大学院情報理工学研究科, 教授 (30251664)

Co-Investigator(Kenkyū-buntansha) 猪原 敬介  くらしき作陽大学, 子ども教育学部, 講師 (10733967)
Project Period (FY) 2015-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2018: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2017: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2016: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2015: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Keywordsベクトル空間モデル / 単語の意味 / 記号接地 / 意味記憶 / 抽象語 / ベクトル意味論 / 意味ネットワーク / 単語埋め込み / 抽象語・抽象概念 / 認知科学 / 自然言語処理 / 意味空間 / 計算モデル / 単語ベクトル / 多義 / 意味空間モデル
Outline of Final Research Achievements

In this research project, using the technique of network analysis, we demonstrated that a vector space model or a distributional semantic model, in which the meaning of words is represented as a multi-dimensional vector, is plausible as a cognitive model of human semantic memory or mental lexicon. In addition, it was found from a simulation experiment of network growth that human lexical acquisition process can be better explained by the following two processes: semantic differentiation (i.e., a process of adding some kind of variation on the meaning of existing words by a new word) and experiential correlation (i.e., a process of relating a new word to existing words by experiential correlation). Furthermore, we proposed a novel multimodal distributional semantic model in which abstract words are represented indirectly through grounded representations of their semantically related concrete words, and provided computational evidence for the indirect grounding view of abstract words.

Academic Significance and Societal Importance of the Research Achievements

単語の意味とは何か,それはどのように表現・処理・獲得されるのか,といった言語の意味に関する諸問題は,人間の知の解明を目指す認知科学などの学術分野の中心課題であり,本研究で得られた結果はそのさらなる解明に向けて,ベクトル空間モデルが認知的に妥当な計算モデリング手法であることを実証した.ベクトル空間モデルによるシミュレーションを行うことで,人間の意味記憶に関する仮説検証が可能になる点で学術的に意義がある.さらに,近年の人工知能の基盤である深層学習では,基盤技術として単語ベクトルが用いられているため,深層学習の内部構造の解明や学習手法の発展にも寄与する点で社会的意義も大きい.

Report

(5 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Annual Research Report
  • 2016 Annual Research Report
  • 2015 Annual Research Report
  • Research Products

    (16 results)

All 2019 2018 2017 2016 2015

All Journal Article (2 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results,  Acknowledgement Compliant: 1 results) Presentation (12 results) (of which Int'l Joint Research: 7 results) Book (2 results)

  • [Journal Article] 単語の意味の計算論的探究―記号,身体,そして比喩―2016

    • Author(s)
      内海彰
    • Journal Title

      人工知能学会誌

      Volume: 31 Pages: 82-90

    • Related Report
      2015 Annual Research Report
  • [Journal Article] A complex network approach to distributional semantic models2015

    • Author(s)
      Akira Utsumi
    • Journal Title

      PLoS ONE

      Volume: 10 Issue: 8 Pages: e0136277-e0136277

    • DOI

      10.1371/journal.pone.0136277

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] 言い換え表現の曖昧さを調整可能な複合名詞の言い換えモデル2019

    • Author(s)
      井上 翔太,松吉 俊,内海 彰
    • Organizer
      言語処理学会第25回年次大会発表論文集
    • Related Report
      2018 Annual Research Report
  • [Presentation] A neurobiologically motivated analysis of distributional semantic models2018

    • Author(s)
      Akira Utsumi
    • Organizer
      Proc. of the 40th Annual Conference of the Cognitive Science Society
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Refining pretrained word embeddings using layer-wise relevance propagation2018

    • Author(s)
      Akira Utsumi
    • Organizer
      Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A distributional semantic model of visually indirect grounding for abstract words2018

    • Author(s)
      Akira Utsumi
    • Organizer
      Proc. of NeurIPS 2018 Workshop on Visually Grounded Interaction and Language
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 日本語類似度・関連度データセットの作成2018

    • Author(s)
      猪原敬介・内海彰
    • Organizer
      言語処理学会第24回年次大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] Estimating the number of word senses to improve multi-prototype vector space models2017

    • Author(s)
      Shintaro Konno and Akira Utsumi
    • Organizer
      Proceedings of the 2nd International Workshop on Language Sense on Computer
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 意味空間に基づく文脈情報を用いた比喩生成2017

    • Author(s)
      中條寛也・松吉俊・内海彰
    • Organizer
      情報処理学会研究報告 2017-NL-231(14)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 物語文・説明文・Webテキストの読書習慣と単語連想の関連についてのコーパス分析2016

    • Author(s)
      猪原敬介・内海彰
    • Organizer
      日本認知科学会第33回大会
    • Place of Presentation
      北海道大学(北海道札幌市)
    • Year and Date
      2016-09-18
    • Related Report
      2016 Annual Research Report
  • [Presentation] Grounded distributional semantics for abstract words2016

    • Author(s)
      Katsumi Takano and Akira Utsumi
    • Organizer
      38th Annual Conference of the Cognitive Science Society
    • Place of Presentation
      Philadelphia, USA
    • Year and Date
      2016-08-11
    • Related Report
      2016 Annual Research Report 2015 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Computational explanation of "fiction text effectivity" for vocabulary improvement: Corpus analyses using latent semantic analysis2016

    • Author(s)
      Keisuke Inohara and Akira Utsumi
    • Organizer
      38th Annual Conference of the Cognitive Science Society
    • Place of Presentation
      Philadelphia, USA
    • Year and Date
      2016-08-11
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 読書におけるジャンルと語彙力の関連についてのコーパス分析 フィクション,ノンフィクション,Web文章の比較2016

    • Author(s)
      猪原敬介・内海彰
    • Organizer
      日本認知心理学会第14回大会
    • Place of Presentation
      広島大学(広島県東広島市)
    • Year and Date
      2016-06-18
    • Related Report
      2016 Annual Research Report
  • [Presentation] Multilingual distributional semantic models: Toward a computational model of the bilingual mental lexicon2015

    • Author(s)
      Akira Utsumi
    • Organizer
      EuroAsianPacific Joint Conference on Cognitive Science (EAPCogSci2015)
    • Place of Presentation
      Torino, Italy
    • Year and Date
      2015-09-25
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research
  • [Book] メタファー研究2018

    • Author(s)
      内海 彰、楠見 孝、鍋島 弘治朗
    • Total Pages
      272
    • Publisher
      ひつじ書房
    • ISBN
      9784894768932
    • Related Report
      2018 Annual Research Report
  • [Book] 読書と言語能力:言葉の「用法」がもたらす学習効果2016

    • Author(s)
      猪原敬介
    • Total Pages
      306
    • Publisher
      京都大学学術出版会
    • Related Report
      2015 Annual Research Report

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Published: 2015-04-16   Modified: 2020-03-30  

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