I’m Shuhei Kurita, a postdoctoral researcher for RIKEN Center for Advanced Intelligence Project aka RIKEN AIP (Satoshi Sekine PI), Tokyo, Japan. Now I visit NYU for co-working with Prof. Kyunghyun Cho from January 2020. My research interests are in Natural Language Understanding (NLU), Machine Learning, Neuroscience, and Statistical and Computational Physics. Currently, most work has been done with neural networks and deep learning. I gained a Ph.D. of Informatics from Kyoto University (Supervisor: Prof. Sadao Kurohashi), March 2019.
My CV is here.
My publication is here.

Research Interests: Natural language and grounding, Syntactic and semantic analysis including parsing, Knowledge acquisition and Deep reinforcement learning in NLU and NLP.



9, Jan., 2020
Thank you for Prof. Kyunghyun Cho and many NYU people, I start my co-working with Cho at NYU from this January. If you are at NYU or NY, I’m so happy to work with you. Feel free to reach me!

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 !
(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!
(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
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