Satoshi Sekine (Ph.D.)
Title
Team Leader
Members
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Team leaderSatoshi Sekine
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Research scientistKourosh Meshgi
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Postdoctoral researcherBin Wu
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Technical scientistAi Ishii
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Technical staff IIMichiko Goto
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Visiting scientistMaryam Mirzaei
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Visiting scientistSaku Sugawara
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Visiting scientistDaisuke Kawahara
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Visiting scientistYukino Baba
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Visiting scientistMasaharu Yoshioka
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Visiting scientistYasutomo Kimura
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Visiting scientistKyoko Ohara
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Visiting scientistKouta Nakayama
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Visiting scientistSakrianiwatiasri Sakti
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Visiting scientistNaoya Inoue
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Visiting scientistYohei Oseki
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Visiting scientistTaiki Miyanishi
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Visiting scientistRyohei Sasano
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Visiting scientistShuhei Kurita
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Visiting scientistHisami Suzuki
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Visiting scientistShinnosuke Takamichi
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Visiting scientistYuta Suzuki
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Part-time worker IYu Tomida
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Part-time worker IShoichi Taniguchi
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Part-time worker IIMiho Katayama
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Part-time worker IIYuko Takayanagi
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Part-time worker IIMikako Shimamura
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Part-time worker IIKaori Fukui
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Part-time worker IIMisa Koakutsu
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Part-time worker IIYuka Fujita
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Part-time worker IIAyaka Mase
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Part-time worker IIYukiko Hashikawa
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Part-time worker IIKanae Hemmi
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Part-time worker IITomomi Yokota
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Part-time worker IIYayoi Nakamura
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Part-time worker IIHiroko Muta
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Part-time worker IIKazuma Kimura
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Part-time worker IIShoko Atsumi
Introduction
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
Information Extraction
RIKEN Website URL
Projects
Poster(s)
- FY2023 Research Results(PDF 550KB)(Japanese version)
- FY2022 Research Results(PDF 2.62MB)(Japanese version)
- FY2021 Research Results(PDF 1.68MB)(Japanese version)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
Research Achievements
Related posts
posted on May 13, 2024 14:00Information
posted on May 9, 2024 15:32Seminar
posted on May 9, 2024 15:34Seminar
posted on December 19, 2023 16:10Information
posted on December 18, 2023 16:30Information
posted on December 15, 2023 10:39Information
posted on November 14, 2023 13:13Information
posted on September 25, 2023 20:05Information
posted on September 25, 2023 11:06Seminar
posted on April 27, 2023 14:51Seminar
posted on April 11, 2023 21:38Information
posted on December 22, 2022 18:09Seminar
posted on September 16, 2022 10:31Seminar
posted on July 15, 2022 11:31Seminar
posted on April 27, 2022 12:48Seminar
posted on March 7, 2022 16:39Information
posted on May 24, 2021 14:31Information
posted on April 29, 2021 06:19Seminar
posted on April 12, 2021 12:03Seminar
posted on January 26, 2021 15:17Information
posted on December 17, 2020 08:22Seminar
posted on September 9, 2019 09:10Information
posted on June 14, 2019 12:00Seminar
posted on March 1, 2019 17:21Information