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RIKEN Center for Advanced Intelligence Project Language Information Access Technology Team

Team Leader: Satoshi Sekine (Ph.D.)

Research Summary

Satoshi  Sekine(Ph.D.)

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 Fields

  • Computer Science

Research Subjects

  • Natural Language Processing
  • Information Extraction

Research Subjects

  • Natural Language Processing
  • Information Extraction

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.

  • 1.*D Nadeau, S Sekine.:
    "A survey of named entity recognition and classification"
    Lingvisticae Investigationes 30 (1), 3-26 (2007)
  • 2.*T Hasegawa, S Sekine, R Grishman.:
    "Discovering relations among named entities from large corpora"
    Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics (2004)
  • 3.*S Sekine, K Sudo, C Nobata.:
    "Extended Named Entity Hierarchy"
    LREC (2002)
  • 4.*Y Shinyama, S Sekine.:
    "Preemptive information extraction using unrestricted relation discovery"
    Proceedings of the main conference on Human Language Technology Conference (2006)
  • 5.*Y Shinyama, S Sekine, K Sudo.:
    "Automatic paraphrase acquisition from news articles"
    Proceedings of the second international conference on Human Language Technologies (2002)
  • 6.*S Sekine, C Nobata.:
    "Definition, Dictionaries and Tagger for Extended Named Entity Hierarchy"
    LREC, 1977-1980 (2004)
  • 7.*J Artiles, J Gonzalo, S Sekine.:
    "The semeval-2007 weps evaluation: Establishing a benchmark for the web people search task"
    Proceedings of the 4th International Workshop on Semantic Evaluations, 64-69 (2007)
  • 8.*K Sudo, S Sekine, R Grishman.:
    "An improved extraction pattern representation model for automatic IE pattern acquisition"
    Proceedings of the 41st Annual Meeting on Association for Computational Linguistics (2003)
  • 9.*Y Shinyama, S Sekine.:
    "Named entity discovery using comparable news articles"
    Proceedings of the 20th international conference on Computational Linguistics (2004)
  • 10.*S Sekine.:
    "On-demand information extraction"
    Proceedings of the COLING/ACL on Main conference poster sessions, 731-738 (2006)

Related Links

Lab Members

Principal investigator

Satoshi Sekine
Team Leader

Core members

Kourosh Meshgi
Research Scientist
Bin Wu
Postdoctoral Researcher
Ai Ishii
Technical Scientist
Michiko Goto
Technical Staff II
Shuhei Kurita
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
Yohei Oseki
Visiting Scientist
Ryohei Sasano
Visiting Scientist
Naoya Inoue
Visiting Scientist
Hisami Suzuki
Visiting Scientist
Shinnosuke Takamichi
Visiting Scientist
Maryam Sadat Mirzaei
Visiting Scientist
Yuta Suzuki
Visiting Scientist
Sakriani Watiasri Sakti
Visiting Scientist
Chengguang Gan
Research Part-time Worker I
Ayaka Mase
Research Part-time Worker II
Yukiko Hashikawa
Research Part-time Worker II
Kanae Hemmi
Research Part-time Worker II
Tomomi Yokota
Research Part-time Worker II

Contact Information

Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi,
Chuo-ku, Tokyo
103-0027, Japan
Email: satoshi.sekine [at] riken.jp