Hitomi Yanaka
Team Director at The University of Tokyo
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolHitomi Yanaka is a Tokyo-based AI researcher and team director with nine years of experience at the intersection of natural language understanding, computational linguistics, and explainable AI. Currently leading the Explainable AI Team at RIKEN while holding an academic appointment at the University of Tokyo, she bridges rigorous research in formal semantics with practical NLP system development. Her background spans industry roles in application engineering to advanced doctoral research, giving her a rare combination of deployment-focused engineering and deep theoretical expertise. Known for framing interpretable models for language understanding, she pursues work that makes complex NLP behavior measurable and communicable to stakeholders beyond academia.
9 years of coding experience
3 years of employment as a software developer
Doctoral Course, School of Engineerling, Ph.D, Doctoral Course, School of Engineerling, Ph.D at University of TokyoBachelor of Applied Science, Biochemistry, Bachelor of Applied Science, Biochemistry at Waseda University
English, Japanese
Github Skills (13)
parsing9
semantics9
multiple-languages8
semantic-parsing8
phonetics7
semantic7
natural-language-processing7
datasets7
acl7
lexical7
nlp7
google-colab6
computational-linguistics6
Programming languages (3)
Github contributions (5)
verypluming/HELP
Nov 2018 - Mar 2022
HELP: a dataset for Handling Entailments with Lexical and logical Phenomena (Ver.1.0)
Contributions:13 commits, 6 pushes, 1 comment in 3 years 4 months
verdatasethandlinglexicaldatasets
verypluming/systematicity
May 2020 - Jan 2023
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Contributions:6 commits, 6 pushes, 1 branch in 2 years 9 months
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