2026 Naoaki Okazaki: Computer Science Researcher – H-Index, Publications & Awards

Overview

Naoaki Okazaki is affiliated with the Tokyo Institute of Technology in Japan. Their research primarily lies within the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Theory and Mathematics, and General Health Professions.

The main topics addressed in Okazaki's work include:

Natural Language Processing Techniques
Topic Modeling
Multimodal Machine Learning Applications
Text Readability and Simplification
Advanced Text Analysis Techniques
Speech Recognition and Synthesis
Domain Adaptation and Few-Shot Learning

Okazaki has contributed extensively to academic literature with 196 publications in total. They have published significantly in venues such as:

arXiv (Cornell University)
Journal of Natural Language Processing
Journal of Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Some of Okazaki's recent papers include:

OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
Gender Bias in Masked Language Models for Multiple Languages, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Named Entity Recognition and Relation Extraction Using Enhanced Table Filling by Contextualized Representations, 2022, Journal of Natural Language Processing
Transformer-based Lexically Constrained Headline Generation, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information, 2020, arXiv (Cornell University)

Okazaki has collaborated frequently with several researchers, notably:

Masahiro Kaneko
Sho Takase
Tatsuya Hiraoka
Youmi Ma
Mengsay Loem

In addition to journal and conference publications, Okazaki has contributed to book literature, with a recorded publication in the field by Springer Science+Business Media titled New Frontiers in Artificial Intelligence in 2020.

Best Publications

Identifying Sections in Scientific Abstracts using Conditional Random Fields

Kenji Hirohata;Naoaki Okazaki;Sophia Ananiadou;Mitsuru Ishizuka

198
Citations
The gene normalization task in BioCreative III

Zhiyong Lu;Hung-Yu Kao;Chih-Hsuan Wei;Minlie Huang

179
Citations
Supporting Systematic Reviews Using Text Mining

Sophia Ananiadou;Brian Rea;Naoaki Okazaki;Rob Procter

171
Citations
Neural Headline Generation on Abstract Meaning Representation

Sho Takase;Jun Suzuki;Naoaki Okazaki;Tsutomu Hirao

169
Citations
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web

Yulan Yan;Naoaki Okazaki;Yutaka Matsuo;Zhenglu Yang

147
Citations
A bottom-up approach to sentence ordering for multi-document summarization

Danushka Bollegala;Naoaki Okazaki;Mitsuru Ishizuka

140
Citations
Building an abbreviation dictionary using a term recognition approach

Naoaki Okazaki;Sophia Ananiadou

122
Citations
BioCreative III interactive task: an overview.

Cecilia N Arighi;Phoebe M Roberts;Shashank Agarwal;Sanmitra Bhattacharya

100
Citations
Positional Encoding to Control Output Sequence Length

Sho Takase;Naoaki Okazaki

98
Citations
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs

Emanuele Bugliarello;Ryan Cotterell;Ryan Cotterell;Naoaki Okazaki;Desmond Elliott

97
Citations
Simple and Efficient Algorithm for Approximate Dictionary Matching

Naoaki Okazaki;Jun'ichi Tsujii

92
Citations
Building a high-quality sense inventory for improved abbreviation disambiguation

Naoaki Okazaki;Sophia Ananiadou;Jun'ichi Tsujii

74
Citations
Improving chronological sentence ordering by precedence relation

Naoaki Okazaki;Yutaka Matsuo;Mitsuru Ishizuka

73
Citations
Enhancing Machine Translation with Dependency-Aware Self-Attention

Emanuele Bugliarello;Naoaki Okazaki

61
Citations
Named entity recognition with multiple segment representations

Han-Cheol Cho;Naoaki Okazaki;Makoto Miwa;Jun'Ichi Tsujii

45
Citations
Dynamic entity representation with max-pooling improves machine reading

Sosuke Kobayashi;Ran Tian;Naoaki Okazaki;Kentaro Inui

44
Citations
Improving Truthfulness of Headline Generation

Kazuki Matsumaru;Sho Takase;Naoaki Okazaki

41
Citations
Kleio: a knowledge-enriched information retrieval system for biology

Chikashi Nobata;Philip Cotter;Naoaki Okazaki;Brian Rea

34
Citations
A Term Recognition Approach to Acronym Recognition

Naoaki Okazaki;Sophia Ananiadou

31
Citations
A Discriminative Candidate Generator for String Transformations

Naoaki Okazaki;Yoshimasa Tsuruoka;Sophia Ananiadou;Jun'ichi Tsujii

30
Citations

Frequent Co-Authors

Jun'ichi Tsujii University of Manchester

Mitsuru Ishizuka University of Tokyo

Sophia Ananiadou University of Manchester

Yutaka Matsuo University of Tokyo

Danushka Bollegala University of Liverpool

Ryan Cotterell ETH Zurich

Yusuke Miyao University of Tokyo

Yoshimasa Tsuruoka University of Tokyo

Hiroaki Kitano Okinawa Institute of Science and Technology

Satoshi Sekine RIKEN

External Links

Personal website of Naoaki Okazaki

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