Yuki Yamamoto Follow

PhD Student at NAIST NLP Lab.
My interests are Syntactic Parsing, Semantic Parsing, Syntax-Semantic Interface, Linguistic Theory, Graph Theory, Machine Learning, Deep Learning, etc.
CONTACT

Skills

上級
英語
中級
Python
中級
VS Code
中級
PyTorch
中級
wsl
中級
GitHub
中級
scikit-learn
初級
R

Experience

2007 - 2008
Van Wyck Junior High School
Math & Science Course
2008 - 2009
Kusatsu Junior High School
General Course
2009 - 2012
Zeze High School
Science Course
2013 - 2018
Osaka University
School of Foreign Studies. English Major. Studied Theoretical Linguistics (Generative Grammar) and Corpus-based Analysis. Achieved BA in Foreign Studies.
2015
Univeristy of California, Los Angeles
Math & Statistics Course. Studied Mathematical Statistics (Probability Theory) and R Programming.
2018 - 2020
Nara Institute of Science and Technology
Computational Linguistics Lab. Research on extension of AMR representation with Generative Lexicon Theory. Achieved Master of Engineering (MEng).
2020 -
Nara Institute of Science and Technology
Natural Language Processing Lab. Research on Semantic and Syntactic Disambiguation in AMR and Dependency Parsing. Currently a PhD Candidate.
2021
NTT Communication Science Lab
Research Intern. Worked on Paraphrase Generation for Simultaneous Machine Translation.

Writing

発表

  • 言語処理学会第25回年次大会 (NLP2019)

山元勇輝, 松本裕治「語彙意味論に基づいたAMR Parsing 」

  • 自然言語処理合同研究会 (YANL2019)

Yuki Yamamoto, Yuji Matsumoto. "Extending AMR with Generative Lexicon ".

  • 情報処理学会 自然言語処理研究会 (NL2020)

山元勇輝, 松本裕治, 渡辺太郎「AMR複文構文パターン辞書作成および意味的曖昧性解消実験 」

  • The Joint Conference on Lexical and Computational Semantics (*SEM2021)

Yuki Yamamoto, Yuji Matsumoto, Taro Watanabe. "Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing".

  • Journal of Natural Language Processing Volume 29 Number 2 (Journal of NLP March, 2022)

Yuki Yamamoto, Yuji Matsumoto, Taro Watanabe. "Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing".

SHARE