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
Nine students joined our lab. (Apr 1st, 2024)
Six students received M.S. degrees, and five received B.S. degrees from our lab. Congratulations to all! (Mar 22, 2024)
Hikari Funabiki received the Committee Member’s Special Award at NLP2024 held online on Mar 11-15, 2024. News (Mar 22nd, 2024)
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)
Our Works
Data-to-Text 
Knowledge-based Dialogue Processing 
Semantic Interpretation of Adverbs 
Temporal Commonsense 
Caption Generation 
Japanese Language Learning Support 
Authorship Attribution 
Parsing with Transformer 
Text Style Conversion 
Natural Language Inference 
Brain Analysis 
Anomaly Detection of Time-series Data 
Real World Understanding 
Explainable AI 
Interaction Estimation 
Artificial Neural Networks
Projects
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| 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).