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 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 IIKaori Fukui
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Part-time worker IIKanae Hemmi
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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)
- FY2024 Research Results(PDF 3MB)(Japanese version)
- 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)
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