Satoshi Sekine
Satoshi Sekine (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Satoshi Sekine
  • Research scientist
    Kourosh Meshgi
  • Postdoctoral researcher
    Bin Wu
  • Technical scientist
    Ai Ishii
  • Technical staff II
    Michiko Goto
  • Visiting scientist
    Maryam Mirzaei
  • Visiting scientist
    Saku Sugawara
  • Visiting scientist
    Daisuke Kawahara
  • Visiting scientist
    Yukino Baba
  • Visiting scientist
    Masaharu Yoshioka
  • Visiting scientist
    Yasutomo Kimura
  • Visiting scientist
    Kyoko Ohara
  • Visiting scientist
    Kouta Nakayama
  • Visiting scientist
    Sakrianiwatiasri Sakti
  • Visiting scientist
    Naoya Inoue
  • Visiting scientist
    Yohei Oseki
  • Visiting scientist
    Taiki Miyanishi
  • Visiting scientist
    Ryohei Sasano
  • Visiting scientist
    Shuhei Kurita
  • Visiting scientist
    Hisami Suzuki
  • Visiting scientist
    Shinnosuke Takamichi
  • Visiting scientist
    Yuta Suzuki
  • Part-time worker I
    Yu Tomida
  • Part-time worker I
    Shoichi Taniguchi
  • Part-time worker II
    Miho Katayama
  • Part-time worker II
    Yuko Takayanagi
  • Part-time worker II
    Mikako Shimamura
  • Part-time worker II
    Kaori Fukui
  • Part-time worker II
    Misa Koakutsu
  • Part-time worker II
    Yuka Fujita
  • Part-time worker II
    Ayaka Mase
  • Part-time worker II
    Yukiko Hashikawa
  • Part-time worker II
    Kanae Hemmi
  • Part-time worker II
    Tomomi Yokota
  • Part-time worker II
    Yayoi Nakamura
  • Part-time worker II
    Hiroko Muta
  • Part-time worker II
    Kazuma Kimura
  • Part-time worker II
    Shoko Atsumi

Introduction

Laboratory's photo

Most of the information in the world is provided in natural language. Due to the huge amount of information, we face serious difficulties to access necessary information. In order to solve the information access bottleneck problem, we will work on the task of Information Extraction, Dialogue Systems and other areas of NLP. In particular, we believe it is crucial and essential that the automatic system can explain the decision it made in the application. We will open the horizon of the basic technologies and will build the useful application systems based on the NLP technologies.

Main Research Field
Computer Science
Research Subjects
Natural Language Processing
Information Extraction
RIKEN Website URL
Projects
Poster(s)

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