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
| Chihiro Maru received the Best Paper Award at SCIS&ISIS2022 held on November 29 – December 2, 2022. News (December 3rd, 2022). |
| One paper was accepted to IEEE BigData2022. (November 6th, 2022) |
| Six papers were accepted to SCIS&ISIS2022. (October 15th, 2022) |
| One paper was accepted to AACL-IJCNLP2022 as short (Findings) and two papers were accepted to AACL-IJCNLP2022 SRW. (October 15th, 2022) |
| Haruka Taguchi received the Fuzzy Special Session Presentation Award at The 38th Fuzzy System Symposium held on September 14-16, 2022. News (October 11th, 2022). |
| Sayako Watanabe received the JSAI Annual Conference Award at The 36th Annual Conference of the Japanese Society for Artificial Intelligence held on June 14-17, 2022. (July 27th,2022). |
| Fourteen students gave presentations at The 36th Annual Conference of the Japanese Society for Artificial Intelligence held at the Kyoto International Conference Center in Kyoto, Japan. (June 14-17, 2022). |
| Six students joined our lab. (April 1st, 2022). |
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). |