Publication

Journal / Preprints

  • Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi
    Neural Network-based Chinese Joint Syntactic Analysis (in Japanese),
    Natural Language Processing (in Japan),  Vol.26,  No.1, 231-258,  (2019.3).
  • Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond & Shigeru Shinomoto
    Reconstructing neuronal circuitry from parallel spike trains,
    Nature Communications volume 10, Article number: 4468 (2019)
    My contribution: Large-scale biological neural network simulation.

International Conferences (Reviewed)

  • Shuhei Kurita and Anders Søgaard
    Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies,
    Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL2019)
    Long paper. To appear. [code][arXiv]
  • Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi,
    Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis,
    Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL2018), Melbourne, Australia, (July 2018).
    Long paper.
  • Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi,
    Neural Joint Model for Transition-based Chinese Syntactic Analysis,
    Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL2017), Vancouver, Canada, (July 2017).
    Long paper. Selected as Out-standing Paper!

Other International Conferences and Workshops

  • Ryota Kobayashi, Shuhei Kurita, Yuzuru Yamanaka, Katsunori Kitano and Shigeru Shinomoto,
    A method for estimating synaptic connections from parallel spike trains,
    13th International Neural Coding Workshop, NC2018
    Torino, Italia, (September 2018).
  • Ryota Kobayashi, Shuhei Kurita, Yuzuru Yamanaka, Katsunori Kitano and Shigeru Shinomoto
    Testing statistical significance of synaptic connectivity,
    12th International Neural Coding Workshop, NC2016
    Cologne, Federal Republic of Germany, (August 2016).

Domestic Conferences (Reviewed)

  • R. Kobayashi, S. Kurita, K. Kitano, K. Mizuseki, Barry J. Richmond and S. Shinomoto
    Estimating synaptic connections from parallel spike trains
    28th Annual Conference of Japanese Neural Network Society, Oral Session, Japan, (October 2018).
  • S. Kurita, Y. Yamanaka, R. Kobayashi, K. Kitano and S. Shinomoto
    Minimal time length of spike trains for the inference of connectivity
    24th Annual Conference of Japanese Neural Network Society, Oral and Poster Session 2 P2-08, Hakodate, Japan, (August 2014).

Other Domestic Conferences and Workshops

  • 多細胞スパイクデータからシナプス結合を推定する技術の開発
    Neuro 2019, 新潟 (2019.7).
    Kobayashi R, Kurita S, Kitano K, Mizuseki K, Richmond B.J, and Shinomoto S.
  • 深層強化学習を用いた意味依存構造解析は自発的に平易優先戦略を学習する
    言語処理学会第25回年次大会, 名古屋, (2019.3.11-15).
    栗田修平, Anders Søgaard
    Selected as Best Paper Award!
  • ニューラルネットワークに基づく単語分割・品詞付与・構文解析の統合解析
    言語処理学会第23回年次大会, つくば, (2017.3.13-17).
    栗田修平, 河原大輔, 黒橋禎夫
  • 神経回路シミュレーションデータを用いた結合推定
    日本物理学会第69回年次大会, 27pAJ-13, 神奈川,(2013.3).
    栗田修平, 小林亮太, 北野勝則, 篠本滋

Invited Talks