Hitomi Yanaka

  • Profile

    ​谷中 瞳

    RIKEN AIP Researcher

    Curriculum Vitae


    Research Interests:

    Natural Language Processing,
    Computational Semantics,

    Artificial Intelligence



    Ph.D in Engineering

    Information Security Specialist

    Applied Information Technology Engineer

    Fundamental Information Technology Engineer


    Software Keywords:

    Python (Django), Perl (Mojolicious),
    HTML, CSS, JavaScript (D3.js)



    Association for Computational Linguistics (ACL) member

    JSAI member

    Association for Natural Language Processing member

    UT Future Faculty Program student

  • Education

    Ph.D in Engineering

    September 2018

    Department of Systems Innovation,

    School of Engineering,

    The University of Tokyo

    Keyword: Semantic Textual Similarity,
    Recognizing Textual Entailment

    Master in Engineering

    March 2013

    Department of Chemical System Engineering,

    School of Engineering,

    The University of Tokyo
    Keyword: Total Quality Management(TQM)

  • Work Experiences

    RIKEN AIP researcher

    October 2018-

    Natural language understanding team

    Part-time Lecturer

    November 2018-

    at Center of Simulation Sciences in Ochanomizu University

    Guest researcher

    November 2018-December 2018

    the Center for Language and Cognition

    University of Groningen, Netherlands

    AIP Challenge PRISM Project Research Funding

    August 2018-March 2019

    "Linguistically-oriented dataset creation for Recognizing Textual Entailment"

    Affiliated Researcher

    October 2015-September 2018

    School of Engineering,

    The University of Tokyo

    Affiliated Researcher

    June 2017-September 2018

    at Center of Simulation Sciences in Ochanomizu University

    AIP Challenge Research Funding

    August 2017-March 2018

    "Learning semantic relations using natural deduction proof"

    Application Engineer

    April 2013-December 2015

    Japanese IT Company

    development of patent search engine and web application for patent visualization

    JASSO Scholarship Exemption from Refund

    April 2011-March 2013

    "Establishing a quality measurement system for cancer care process"

  • Publications

    Journal papers(査読あり論文誌)

    谷中瞳, 峯島宏次, Pascual Martinez-Gomez, 戸次大介. 自然演繹に基づく論理推論の文間類似度学習・含意関係認識への応用. 自然言語処理, Vol.25 No.3, pp.295-324, (2018.6).

    Refereed conference papers (査読あり国際会議)

    Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze and Johan Bos, HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning, the 8th Joint Conference on Lexical and Computational Semantics (*SEM2019) with NAACL-HLT2019, Minneapolis, USA, (2019.6).

    Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima and Daisuke Bekki, Towards Building a Logical Inference System for Image Retrieval, the NAACL-HLT2019 workshop on Shortcomings in Vision and Language (SiVL2019), Minneapolis, USA, (2019.6).

    Kana Manome, Masashi Yoshikawa, Hitomi Yanaka, Pascual Martínez-Gómez, Koji Mineshima and Daisuke Bekki, Neural sentence generation from formal semantics, 11th International Conference on Natural Language Generation (INLG2018), Tilburg, Netherlands, (2018.11).

    Hitomi Yanaka, Koji Mineshima, Pascual Martinez-Gomez, and Daisuke Bekki, Towards Understanding Bilingual Textual Entailment and Similarity, the ESSLLI2018 Workshop on NLP in the Era of Big Data, Deep Learning, and Post Truth, Sofia, Bulgaria, 【best paper award】(2018.8).

    Hitomi Yanaka, Koji Mineshima, Pascual Martinez-Gomez, and Daisuke Bekki, Acquisition of Phrase Correspondences using Natural Deduction Proofs (arXiv), 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT2018), New Orleans, Louisiana, (2018.6).

    Hitomi Yanaka, Koji Mineshima, Pascual Martinez-Gomez, and Daisuke Bekki, Determining Semantic Textual Similarity using Natural Deduction Proofs (arXiv), The Conference on Empirical Methods in Natural Language Processing (EMNLP2017), Copenhagen, Denmark, (2017.9).

    Hitomi Yanaka and Yukio Ohsawa, Clustering Documents on Case Vectors Represented by Predicate-argument Structures - Applied for Eliciting Technological Problems from Patents -, 11th International Symposium Advances in Artificial Intelligence and Applications (AAIA2016), FedCSIS, Gdansk, Poland, (2016.9).

    Hitomi Yanaka and Yukio Ohsawa, Clustering Documents Using Structural Similarity Based on Case Sets -Applied for Technological Problems from Patents-, 2nd European Workshop on Chance Discovery and Data Synthesis in conjunction with the 20th European Conference on Artificial Intelligence (ECAI2016), Hague, Netherlands, (2016.8).


    谷中瞳, 戸次大介, 峯島宏次, 関根 聡, 乾 健太郎. クラウドソーシングによる単調推論データセットの構築. 人工知能学会第33回全国大会, (2019.6).

    鈴木莉子, 吉川将司, 谷中瞳, 峯島宏次, 戸次大介. テキスト情報と画像情報を組み合わせた論理推論システムの構築. 人工知能学会第33回全国大会, (2019.6)​.

    谷中瞳, 峯島宏次, 戸次大介, 関根 聡, 乾 健太郎, Lasha Abzianidze, Johan Bos. ​ニューラル自然言語推論に向けたMonotonicityに基づく含意関係認識データセット自動構築. 言語処理学会第25回年次大会, (2019.3)​.

    鈴木莉子, 谷中瞳, 峯島宏次, 戸次大介. CCGと定理証明器を用いた画像情報の意味表現と推論の試み. 言語処理学会第25回年次大会, (2019.3)​.

    馬目華奈, 吉川将司, 谷中瞳, 峯島浩次, 戸次大介. 形式意味論に基づくニューラル文生成. NLP若手の会第13回シンポジウム, (2018.8).

    外園康智, 長谷川貴博, 渡邉知樹, 馬目華奈, 簗有紀子, 谷中瞳, 田中リベカ, Pascual Martinez-Gomez​, 峯島宏次, 戸次大介. 意味解析システムccg2lambdaによる金融ドキュメント処理. 人工知能学会第32回全国大会, (2018.6).​

    谷中瞳, 峯島宏次, Pascual Martinez-Gomez, 戸次大介. ​自然演繹に基づく文間の含意関係の証明を用いたフレーズアライメントの試み​. 言語処理学会第24回年次大会【若手奨励賞受賞】, (2018.3)​. (slide)

    馬目華奈, ​谷中瞳, 吉川将司, 峯島宏次, 戸次大介. RNN系列変換モデルを用いた高階論理式からの文生成, 言語処理学会第24回年次大会, (2018.3)​.

    馬目華奈, 外園康智, 長谷川貴博, 小西優祐, 渡邉知樹, 簗有紀子, ​谷中瞳, 田中リベカ, 峯島宏次, 戸次大介. 含意関係認識による金融ドキュメントチェックへの取り組み. 言語処理学会第24回年次大会, (2018.3)​.

    谷中瞳, 峯島宏次, Pascual Martinez-Gomez, 戸次大介. 単語の分散表現と仮説推論を用いた文の類似度学習. 人工知能学会第31回全国大会, (2017.5).

    戸次大介, 峯島宏次, 金子貴美, 田中リベカ, 谷中瞳, 木下恵梨子, 伊藤友里菜, 簗有紀子. 意味論の証明論的転回. 人工知能学会第31回全国大会, (2017.5).

    谷中瞳, 峯島宏次, Pascual Martinez-Gomez, 戸次大介​. 論理式による意味表現と証明プロセスに着目した文の類似度学習方法の提案. 言語処理学会第23回年次大会, (2017.3).

    谷中瞳, 大澤幸生. 特許文献を利用した技術課題の抽象化方法の検討. 人工知能学会第30回全国大会, (2016.6).

    谷中瞳, 大澤幸生. データジャケットを活用した、同業種間で共有できる課題管理システムの提案. 電子情報通信学会「人工知能と知識処理」(AI)研究会, (2015.12).

    谷中瞳, 水流聡子, 飯塚悦功, 下野僚子, 加藤省吾. がん診療プロセスの質評価指標の設計と計測方法の提案, 第7回医療の質・安全学会学術集会, (2012.11).

    谷中瞳, 水流聡子, 飯塚悦功, 下野僚子, 加藤省吾. がん診療プロセスの質評価指標の設計と計測方法の開発, 日本品質管理学会第98回研究発表会, (2012.5).


    谷中瞳, ​Towards understanding textual entailment and similarity, MiCS@Tohoku University, (2018.10).

    谷中瞳, ​​自然言語処理と形式意味論の融合による、含意関係と意味的類似度の計算, TokyoCL勉強会@NII, (2018.9).

    谷中瞳, 高階論理式と自然演繹による推論を用いた文間の関連性学習, AIPチャレンジ報告合宿【AIPネットワークラボ長賞受賞】, (2018.4).​

    谷中瞳, 自然演繹に基づく証明を用いた文間の意味的関連性の学習, AIP若手研究交流会, (2017.12).
    谷中瞳, ⾃然演繹に基づく証明を⽤いた⽂間の意味的関連性の学習, 情報系Winter Festa Episode3@NII (CREST黒橋グループ発表内), (slide) (movie), (2017.12).



    未来への道を全力で進め,日刊工業新聞「凛としていきる 理系女性の挑戦」 掲載, (2016.4).


    工学部広報誌 Ttime! 広報アシスタント



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