NAOKI YOSHINAGA+81·3·5452·6239 ⋄ ynaga@iis.u-tokyo.ac.jp ⋄ www.tkl.iis.u-tokyo.ac.jp/~ynaga/

Education
University of Tokyo Ph.D. in Information Science and Technology (Advisor: Prof. Jun’ichi Tsujii)

2002 – 2005

University of Tokyo M.Sc. in Information Science

2000 – 2002

University of Tokyo B.Sc. in Information Science

1996 – 2000

Research Experience (since 2005)
University of Tokyo Associate Professor
Apr. 2016 – present
Principal Investigator of Natural Language Processing (NLP) and Computational Linguistics (CL) Group.
National Institute of Information and Communications Technology Senior Researcher,→ Dr. Yutaka Kidawara
Worked on Adaptive Natural Language Processing for Social Big Data.

Apr. 2014 – Mar. 2016

University of Tokyo Project Associate Professor
Jul. 2012 – Mar. 2016,→ Prof. Masaru Kitsuregawa
Institute of Industrial Science
Worked on Efficient and Adaptive Natural Language Processing for Social Big Data.
University of Tokyo Project Research Associate,→ Prof. Masaru Kitsuregawa
Worked on Efficient Natural Language Processing for Social Big Data.

Apr. 2008 – Jun. 2012
Institute of Industrial Science

Japan Advanced Institute of Science and Technology (jaist) JSPS Research Fellow
Apr. 2005 – Mar. 2008,→ Prof. Kentaro Torisawa
School of Information Science
Worked on Knowledge Acquisition from the Web.

Selected publications (since 2021)
K. Tamura, N. Yoshinaga, and M. Meishi. Making Distilled Language Models Even Smaller: Lightweight Reconstruction of Rare
Token Embeddings. In CoNLL, 2024. (accepted).
X. Zhao, N. Yoshinaga, and D. Oba. What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models. In EMNLP (Findings),2024a. (accepted).
X. Zhao, N. Yoshinaga, and D. Oba. Tracing the Roots of Facts in
Multilingual Language Models: Independent, Shared, and Transferred Knowledge. In EACL, 2024b.
N. Yoshinaga. Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie. In ACL, 2023.
S. Akasaki, N. Yoshinaga, and M. Toyoda. Early Discovery ofDisappearing Entities in Microblogs. In ACL, 2023.
K. Shinzato, N. Yoshinaga, Y. Xia, and W.-T. Chen. A Unified
Generative Approach to Product Attribute-Value Identification.
In ACL (Findings), 2023.
K. Nishida, N. Yoshinaga, and K. Nishida. Self-Adaptive Named
Entity Recognition by Retrieving Unstructured Knowledge. In
EACL, 2023.
D. Oba, I. Yamada, N. Yoshinaga, and M. Toyoda. Entity Embedding Completion for Wide-Coverage Entity Disambiguation.
In EMNLP (Findings), 2022.
K. Shinzato, N. Yoshinaga, Y. Xia, and W.-T. Chen. Simple
and Effective Knowledge-Driven Query Expansion for QA-Based
Product Attribute Extraction. In ACL, 2022.
S. Akasaki, N. Yoshinaga, and M. Toyoda. Fine-grained Typingof Emerging Entities in Microblogs. In EMNLP (Findings), 2021.
A. Sugiyama and N. Yoshinaga. Context-aware Decoder for
Neural Machine Translation using a Target-side Document-Level
Language Model. In NAACL-HLT, 2021.

Technical Projects
University of Tokyo (Apr. 2008 – present)
Working on natural language processing in thewild; fast, adaptive natural language processing.
NICT (Apr. 2014 – Mar. 2016)
Worked on self-adaptive classifier for Twitter.
JAIST (Apr. 2005 – Mar. 2008)
Worked on extracting hyponymy relations andattribute-value knowledge from the Web layouts.

AwardsSpecial Committee Awards
2023
The 29th Annual Meeting for The Association
for Natural Language Processing
Best Interactive Award2019
The eighth Forum on Data Engineering and Information Management
JSAI 30th Anniversary Best Paper Award 2016
Transactions of the Japanese Society for Artificial Intelligence
Best Poster Award2016
The 17th International Conference on Intelligent
Text Processing and Computational Linguistics
JSAI Incentive Award
2013
Japanese Society for Artificial Intelligence
Best Paper AwardThe 72nd National Convention of IPSJ

2010

Best Paper Award
Journal of Natural Language Processing

2009