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
One student gave an online oral presentation at PRML2023 held at Xinjiang University, China. (Aug 4th-6th, 2023)
One student gave a poster presentations at The 46th Annual Meeting of the Japan Neuroscience Society held at the Sendai International Center in Miyagi, Japan. (Aug 1-4th, 2023)
One paper was accepted to ISCMI2023. (Jul 30th, 2023)
One paper was accepted to DS2023. (Jul 21th, 2023)
One paper was accepted to ICANN2023. (Jun 30th, 2023)
Twelve students gave presentations at The 37th Annual Conference of the Japanese Society for Artificial Intelligence held at the Kumamoto-jo Hall in Kumamoto, Japan. (Jun 6-9th, 2023)
Our paper was published in JACIII. (May 30th, 2023)
Two papers were accepted to IEEE-SME2023. (May 27th, 2023)
One paper was accepted to PRML2023. (May 10th, 2023)
One paper was accepted to JSAA-ICNTJ2023. (Apr 15th, 2023)
Eight students joined our lab. (Apr 1st, 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).