Bio

I’m Shuhei Kurita. I have received Ph.D. of Informatics from Kyoto University, March, 2019.
Now I’m working for RIKEN Center for Advanced Intelligence Project aka RIKEN AIP  (Satoshi Sekine PI), Tokyo, Japan.
My research interests are in Natural Language Processing (NLP), Machine Learning, Neural Networks, Neuroscience, and Statistical and Computational Physics. Currently, my most work has been done with neural networks and deep learning.
My CV is here.
My publication is here.
I received Ph.D. of Informatics, Kyoto University (Supervisor: Prof. Sadao Kurohashi) in March 2019.

Research Interests in NLP: Syntactic or Semantic Parsing, Knowledge Acquisition and Deep reinforcement learning in NLP.

 

News

2, Oct., 2019
Our paper “Reconstructing neuronal circuitry from parallel spike trains” has been published from Nature Communications!
Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond & Shigeru Shinomoto
Thanks to co-authors!

14, May, 2019
Our paper “Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies,” (Long)  has been accepted to ACL2019!
Shuhei Kurita and Anders Søgaard

1, April, 2019
I have received Ph.D. of Informatics from Kyoto University in March!
Now I join the Center for Advanced Intelligence Project, RIKEN, Nihombashi, Tokyo with Prof. Satoshi Sekine.
I am adapted to JST ACT-I Research Projects Acceleration Phase (2019.4-2021.3).

18, Mar, 2019
Our paper received the Best paper award at the 25th Annual Meeting of The Association for Natural Language Processing !
「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」
(The semantic dependency parsing model using deep reinforcement learning finds out the easy-first parsing strategy)
Shuhei Kurita and Anders Søgaard

13, Dec, 2018
Our paper is accepted to Journal of Natural Language Processing!
ニューラルネットワークを利用した中国語の統合的な構文解析
(Neural Network-based Chinese Joint Syntactic Analysis)
栗田修平 (Shuhei Kurita), 河原大輔 (Daisuke Kawahara), 黒橋禎夫 (Sadao Kurohashi)

31, May, 2018
Our paper is posted on bioRxiv!
Reconstructing Neuronal Circuitry from Parallel Spike Trains
Ryota Kobayashi, Shuhei Kurita, Katsunori Kitano, Kenji Mizuseki, Barry J Richmond and Shigeru Shinomoto
https://www.biorxiv.org/content/early/2018/05/30/334078
My contribution: Large scale neural network simulation.

21, April, 2018
Our paper is accepted by ACL2018!
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis
Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi

1, Mar., 2018
Research visit at Anders Søgaard @ University of Copenhagen (2018.3-2018.6).

19, Sep., 2017
Adopted to JST ACT-I research projects (2017.10-2019.3).

4, Aug., 2017
Personally invited to Google NLP Summit @Zürich, Switzerland.

1, July, 2017
I will make the following presentation in ACL2017:
Wednesday, August 2, Outstanding Papers 3 Session
Neural Joint Model for Transition-based Chinese Syntactic Analysis
Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi