Yuri Murayama / 村山 友理
Contact: murayama.yuri(at)sys.t.u-tokyo.ac.jp
Research Interests
Interested in using knowledge for natural language processing. Studied on converting natural language questions into SPARQL queries to access knowledge and building a dialogue system over context and knowledge using a neural network model with external memories. Addressing multi-hop question answering with the tensor product of knowledge.
Work Experience
Assistant Professor, The University of Tokyo, Apr 2024-present.
Project Researcher, The University of Tokyo, Apr 2023-Mar 2024.
Education
Ph.D. in Computer Science, Ochanomizu University.
Advisor: Prof. Ichiro Kobayashi, Advanced Sciences, Graduate School of Humanities and Sciences, Ochanomizu University.
M.S. in Computer Science, Ochanomizu University.
Advisor: Prof. Ichiro Kobayashi, Advanced Sciences, Graduate School of Humanities and Sciences, Ochanomizu University.
B.S. in Computer Science, Ochanomizu University.
Advisor: Prof. Ichiro Kobayashi, Advanced Sciences, Graduate School of Humanities and Sciences, Ochanomizu University.
Research Experience
Research Intern, NTT Media Intelligence Laboratory.
Supervised by Dr. Ryuichiro Higashinaka.
Developed a characterized chatbot with external data such as the person’s blogs and twitter to compensate for the lack of real corpora.
Research Intern, IBM Research-Tokyo.
Supervised by Mr. Masaki Ono.
Extracted subject-predicate-object relationship from medical documents using Watson Explorer to improve the accuracy of prediction on disease risks.
Honors and Awards
JACIII Best Paper Award 2024, J. Adv. Comput. Intell. Intell. Inform. (selected from 329 papers). Research Fellowship for Young Scientists (JSPS DC1), Japan society for the promotion of science, Apr 2020-Mar 2023.
Professional Service
Research Assistant, Artificial intelligence research center (AIRC) of national institute of advanced industrial science and technology (AIST) NEDO3.0 “Core Technology Development of Next-generation AI and Robots” (DFA20285D8AB1), Feb 2021-Mar 2023.
Representative: Dr. Hiroya Takamura, AIST.
Contributed to knowledge and information research team by engaging in the project of building a dialogue system using both the understanding of table data and external knowledge.
Research Member, Japan science and technology agency (JST)/ core research for evolutional science and technology (CREST) “A Framework PRINTEPS to Develop Practical Artificial Intelligence” (JPMJCR14E3), Apr 2017-Mar 2020.
Representative: Prof. Takahira Yamaguchi, Faculty of Science and Technology, Keio University.
Contributed to a dialogue continuation part of the platform by building a dialogue system over context using a neural network model. Collaborated with Ochanomizu elementary school by a lesson with a robot based on PRINTEPS (PRactical INTElligent aPplicationS).
Executive Members
- Annual Meeting of the Association for Natural Language Processing (NLP), Apr 2024-Mar 2026.
- Young Researcher Association for NLP Studies (YANS), Apr 2021-Mar 2023.
- State-of-the-art NLP Study Group (SNLP), Sep 2020-Aug 2023.
Professional Memberships
- Association for Computational Linguistics (ACL)
- Association for Natural Language Processing (NLP)
- Japanese Society for Artificial Intelligence (JSAI)