World's Best Scientists 2026 revealed!
Award Badge
Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
20959
World Ranking
1678
National Ranking
91

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Jun'ichi Tsujii is affiliated with the University of Manchester in the United Kingdom. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Their work also touches on Computer Vision and Pattern Recognition as well as Social Psychology.

The main topics of Tsujii's research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text Readability and Simplification
  • Advanced Text Analysis Techniques
  • Semantic Web and Ontologies
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning

Tsujii has contributed to multiple research publications in several venues. Frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Computer Speech & Language
  • Computational Linguistics
  • Electronics
  • arXiv (Cornell University)

Recent papers by Tsujii and collaborators cover topics in natural language processing, machine learning, and AI systems integrated with language models. These papers include:

  • "Transfer fine-tuning of BERT with phrasal paraphrases," 2020, Computer Speech & Language
  • "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters," 2020, arXiv (Cornell University)
  • "Natural Language Processing and Computational Linguistics," 2021, Computational Linguistics
  • "Reflective Dialogues with a Humanoid Robot Integrated with an LLM and a Curated NLU System for Positive Behavioral Change in Older Adults," 2024, Electronics
  • "Trained BERT models for phrase alignment with the constrained tree edit distance algorithm," 2021, Zenodo (CERN European Organization for Nuclear Research)

The scientist frequently collaborates with peers such as Yuki Arase, with whom they have co-authored multiple papers, as well as Andreas Dengel, Oren Etzioni, Nicole DeCario, and Holger H. Hoos.

Best Publications

  • GENIA corpus—a semantically annotated corpus for bio-textmining

    Jin-Dong Kim;Tomoko Ohta;Yuka Tateisi;Jun'ichi Tsujii

  • brat: a Web-based Tool for NLP-Assisted Text Annotation

    Pontus Stenetorp;Sampo Pyysalo;Goran Topić;Tomoko Ohta

  • Overview of BioNLP'09 Shared Task on Event Extraction

    Jin-Dong Kim;Tomoko Ohta;Sampo Pyysalo;Yoshinobu Kano

  • Developing a robust part-of-speech tagger for biomedical text

    Yoshimasa Tsuruoka;Yuka Tateishi;Jin-Dong Kim;Tomoko Ohta

  • Corpus annotation for mining biomedical events from literature

    Jin Dong Kim;Tomoko Ohta;Jun'ichi Tsujii;Jun'ichi Tsujii

  • Text mining and its potential applications in systems biology

    Sophia Ananiadou;Douglas B. Kell;Jun ichi Tsujii;Jun ichi Tsujii

  • Accomplishments and challenges in literature data mining for biology

    Lynette Hirschman;Jong C. Park;Junichi Tsujii;Limsoon Wong

  • Extracting the names of genes and gene products with a hidden Markov model

    Nigel Collier;Chikashi Nobata;Jun-ichi Tsujii

  • Tuning support vector machines for biomedical named entity recognition

    Jun'ichi Kazama;Takaki Makino;Yoshihiro Ohta;Jun'ichi Tsujii

  • Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data

    Yoshimasa Tsuruoka;Jun'ichi Tsujii

  • Event extraction from biomedical papers using a full parser.

    Akane Yakushiji;Yuka Tateisi;Yusuke Miyao;Jun-ichi Tsujii

  • Identifying the Interaction between Genes and Gene Products Based on Frequently Seen Verbs in Medline Abstracts.

    Takeshi Sekimizu;Hyun S. Park;Hyun S. Park;Jun'ichi Tsujii;Jun'ichi Tsujii

  • Probabilistic CFG with Latent Annotations

    Takuya Matsuzaki;Yusuke Miyao;Jun'ichi Tsujii

  • Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty

    Yoshimasa Tsuruoka;Jun'ichi Tsujii;Sophia Ananiadou

  • The C-value/NC-value Method of Automatic Recognition for Multi-Word Terms

    Katerina T. Frantzi;Sophia Ananiadou;Jun-ichi Tsujii

  • Event extraction for systems biology by text mining the literature.

    Sophia Ananiadou;Sampo Pyysalo;Jun’ichi Tsujii;Douglas B. Kell

  • Feature forest models for probabilistic hpsg parsing

    Yusuke Miyao;Jun'ichi Tsujii

  • Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles

    Kenji Sagae;Jun'ichi Tsujii

  • EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES

    Makoto Miwa;Rune Sætre;Jin-Dong Kim;Jun'ichi Tsujii;Jun'ichi Tsujii

  • Overview of BioNLP Shared Task 2011

    Jin-Dong Kim;Sampo Pyysalo;Tomoko Ohta;Robert Bossy

  • Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

    Junichi Tsujii;Jan Hajic

Frequent Co-Authors

Sophia Ananiadou
Sophia Ananiadou University of Manchester
Yusuke Miyao
Yusuke Miyao University of Tokyo
Tomoko Ohta
Tomoko Ohta University of Tokyo
Sampo Pyysalo
Sampo Pyysalo University of Turku
Yoshimasa Tsuruoka
Yoshimasa Tsuruoka University of Tokyo
Makoto Miwa
Makoto Miwa Toyota Technological Institute
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Eric Chang
Eric Chang Microsoft (United States)
Nigel Collier
Nigel Collier University of Cambridge
Kenji Sagae
Kenji Sagae University of California, Davis

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options is a smart way to jumpstart or advance your career in computer science and related fields. Many students consider fast track associates degree online programs. These offer a pathway to enter the tech field quickly and can often be completed in just six months, providing core skills without a long-term time commitment.

For those interested in a broader business background, numerous accredited online business schools offer degrees that complement technical abilities. Business knowledge is valuable for roles in tech management, entrepreneurship, or product development.

Affordability is often a significant concern. Prospective students should consider the most cheapest online college degrees to maximize the return on investment and minimize student debt, making higher education attainable for more people.

For those focused on engineering, there are also highly regarded engineering online programs. These programs offer flexible learning options in areas like software, electrical, and mechanical engineering, opening doors to specialized tech careers.

Best Scientists Citing Jun'ichi Tsujii

Trending Scientists

Recently Published Articles