Research Interest
- Natural Language Processing / Computational Linguistics
- Mathematical Language Processing / Mathematical Linguistics
- Mathematical Information Retrieval
Education
- Doctor of Computer Science (Candidate), April 2020―present
- Department of Computer Science, The University of Tokyo, Japan
- Major: Natural Language Processing
- Supervisor: Prof. Yusuke Miyao and Prof. Akiko Aizawa
- Master of Informatics, April 2018―March 2020
- Department of Informatics, SOKENDAI, Japan
- Major: Natural Language Processing
- Supervisor: Prof. Yusuke Miyao and Prof. Akiko Aizawa
- Bachelor of Science, April 2014―March 2018
- Department of Bioinformatics and Systems Biology, The University of
Tokyo, Japan
- Major: Bioinformatics
- Supervisor: Prof. Toshihisa Takagi
Publications (Refereed)
- Takuto Asakura, Yusuke Miyao, Akiko Aizawa. Building
Dataset for Grounding of Formulae — Annotating Coreference Relations
Among Math Identifiers. In Proceedings of 13th Conference on Language
Resources and Evaluation (LREC 2022). pp. 4851―4858, 2022.
[paper] [bib]
[slides] [video]
[resource]
- Takuto Asakura, Yusuke Miyao, Akiko Aizawa, Michael Kohlhase.
MioGatto: A Math Identifier-oriented Grounding Annotation
Tool. In 13th
MathUI Workshop at 14th Conference on Intelligent Computer Mathematics
(MathUI 2021).
[preprint]
[paper]
[slides] [code]
- Takuto Asakura, André Greiner-Petter, Akiko Aizawa, Yusuke
Miyao. Towards Grounding of Formulae. In Proceedings of
First Workshop on Scholarly
Document Processing (SDP 2020). pp. 138―147, 2020.
[paper]
[bib]
[poster]
[resource]
- Takuto Asakura, Jin-Dong Kim, Yasunori Yamamoto, Yuka
Tateisi, Toshihisa Takagi. A Quantitative Evaluation of Natural
Language Question Interpretation for Question Answering
Systems. In Proceedings of 8th Joint International
Semantic Technology Conference (JIST 2018). pp. 215―231, 2018.
[preprint] [paper] [bib]
[slides] [code]
Publications (Non-refereed)
and Talks
- Takuto Asakura, André Greiner-Petter, Akiko Aizawa, Yusuke
Miyao. Dataset Creation for Grounding of Formulae. In
SCIDOCA 2020.
[slides] [resource]
- Takuto Asakura. The design concept for llmk—Light
LaTeX Make. In TUG
2020.
[paper]
[slides]
[video] [code]
- Takuto Asakura. A TeX-oriented research topic:
Synthetic analysis on mathematical expressions and natural
language. In TUG
2019.
[paper]
[slides]
- Takuto Asakura. Understanding Scientific Documents
with Synthetic Analysis on Mathematical Expressions and Natural
Language. In CICM
2019.
[paper] [slides]
- Takuto Asakura. New Features in Texdoc 3.0.
In BachoTeX
2018.
[slides] [code]
- Takuto Asakura. Implementing bioinformatics
algorithms in TeX―the Gotoh package, a case study. In TUG@BachoTeX 2017.
(W.J. Martin Prize)
[paper]
[slides] [code]
Domestic
Publications (Non-refereed) and Talks
Work Experience
- Part-time Software Engineer (Natural Language Processing), LINE
Corporation, Tokyo, May 2021―present
- Research Assistant, The University of Tokyo, Tokyo, April
2021―present
- Teaching Assistant (Academic Writing), The University of Tokyo,
Tokyo, September 2020―March 2021
- Assistant Technical Staff, Research Organization of Information and
Systems, Tokyo, April 2018―March 2021
- Teaching Assistant (Science), Seiko Gakuin High School, Yokohama,
September 2017―March 2018
Languages
- native: Japanese
- fluent: English
- basic: German, Esperanto
Computer Skills
- Programming Languages
- fluent: Python, Ruby, Lua, TeX/LaTeX
- basic: C, C++, TypeScript, OCaml, Rust, etc.
- Tools and Technologies: Linux, Git, etc.
Software
The followings are featured projects. The entire list is available
from GitHub.
- MioGatto: an
annotation tool for grounding of formulae
- Texdoc:
documentation search tool for TeX Live
- llmk: a build tool for
LaTeX documents
Awards and Honors
Grants