langbrain
Language & Brain
langrobo
Language & Robotics
lang
Natural Language Processing
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Artificial Intelligence
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About Us

The Kobayashi Laboratory at Ochanomizu University researches a broad range of topics, including natural language processing and artificial intelligence. We enjoy our research activities with our students, aiming at the computational realization of “linguistic intelligence”, in which humans think and perform intellectual activities using natural language.


News

Yukako Nakano received the Best Presentation Award, and Haruka Kawasaki, Momoka Narita and Satoko Hirano received the Best Session Award at The 24th International Symposium on Advanced Intelligent Systems held online on Dec 6-9, 2023. News1, News2 (Dec 22nd, 2023)

Five papers were accepted to ISIS2023. (Nov 13th, 2023)

Eri Kuroda received the Yasui-Kuroda Scholarship from Ochanomizu University. (Nov 10th, 2023)

Prof. Ichiro Kobayashi gave a plenary talk at International Conference on Advanced Intelligent MAritime Safety and Technology (Ai-MAST) 2023 held at Korea. (Nov 2nd-4th, 2023)

Kobayashi Laboratory’s 20th anniversary party was held. (Oct 21st, 2023)

One student gave an oral presentation at DS2023 held at Porto, Portugal. (Oct 9th-11th, 2023)

Prof. Ichiro Kobayashi et al. received the Best Demo Paper Award at The 16th International Natural Language Generation Conference (INLG 2023) held on September 11th-15th, 2023. News (Oct 3rd, 2023)

Two students gave online oral presentations at IEEE-SMC2023 held at Oahu, Hawaii. (Oct 1st-4th, 2023)

One student gave an oral presentation at ICANN2023 held at Crete, Greece. (Sep 26th-29th, 2023)

One paper was accepted to PACLIC2023. (Sep 10th, 2023)

Haruka Iwai received the Fuzzy Special Session Presentation Award at FSS2023 held on September 5th-7th, 2023. News (Sep 7th, 2023)

Two studenta gave oral presentations at FSS2023 held at Villas des Mariages in Nagano, Japan. (Sep 5-7th, 2023)


Our Works


Projects

JST/CREST
A Framework PRINTEPS to Develop Practical Artificial Intelligence
(2014-2020)
Correspondence and Fusion of Artificial Intelligence and Brain Science
(2016-2021)
Chronogenesis
(2018-Present)
Restructuring human sciences based on decoding of emotional information
(2021-Present)

Adaptive Probabilistic Robotics through Statistical Motion Analysis and Kinematics (2018-2020).

Deeping Brain Decoding Technology and Development of its Application based on Understanding the Mechanism of Dealing with Multimodal Information in the Brain (2017-2019).