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Yusuke Miyao

Yusuke Miyao

D-Index & Metrics

Computer Science

D-Index
45
Citations
6271
World Ranking
7316
National Ranking
102

Overview

Yusuke Miyao is a researcher affiliated with the University of Tokyo in Japan. Their work primarily spans the field of Computer Science, with a substantial focus on Artificial Intelligence. Miyao's research also touches upon related subfields including Computer Vision and Pattern Recognition, Signal Processing, Information Systems, and Social Psychology.

Their main research topics include Topic Modeling, Natural Language Processing Techniques, Advanced Text Analysis Techniques, Multimodal Machine Learning Applications, Semantic Web and Ontologies, Text and Document Classification Technologies, and Sentiment Analysis and Opinion Mining.

Miyao has contributed to a number of recent publications, addressing various aspects of natural language processing and related technologies. Some notable papers include:

  • Universal Dependencies (2025), published in HAL (Le Centre pour la Communication Scientifique Directe)
  • Learning to Select, Track, and Generate for Data-to-Text (2020), published in Journal of Natural Language Processing
  • StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning (2023), published in Journal of Natural Language Processing
  • LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs (2024), published on arXiv (Cornell University)
  • Controlling contents in data-to-document generation with human-designed topic labels (2020), published in Computer Speech & Language

Miyao frequently publishes in venues such as arXiv (Cornell University), Journal of Natural Language Processing, Computer Speech & Language, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), and HAL (Le Centre pour la Communication Scientifique Directe).

The researcher collaborates regularly with several co-authors, which include Hiroya Takamura, Jason Naradowsky, Ichiro Kobayashi, Masayuki Asahara, and Daisuke Kawahara, reflecting a network of collaborative work within their field.

Best Publications

  • Event extraction from biomedical papers using a full parser.

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

  • Probabilistic CFG with Latent Annotations

    Takuya Matsuzaki;Yusuke Miyao;Jun'ichi Tsujii

  • Feature forest models for probabilistic hpsg parsing

    Yusuke Miyao;Jun'ichi Tsujii

  • SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing

    Stephan Oepen;Marco Kuhlmann;Yusuke Miyao;Daniel Zeman

  • Universal Dependencies 1.2

    Joakim Nivre;Željko Agić;Maria Jesus Aranzabe;Masayuki Asahara

  • Protein–protein interaction extraction by leveraging multiple kernels and parsers

    Makoto Miwa;Rune Sætre;Yusuke Miyao;Jun’ichi Tsujii;Jun’ichi Tsujii

  • Evaluating contributions of natural language parsers to protein–protein interaction extraction

    Yusuke Miyao;Kenji Sagae;Rune Sætre;Takuya Matsuzaki

  • SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing

    Unknown

  • Corpus-Oriented grammar development for acquiring a head-driven phrase structure grammar from the penn treebank

    Yusuke Miyao;Takashi Ninomiya;Jun’ichi Tsujii

  • Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing

    Yusuke Miyao;Jun'ichi Tsujii

  • Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases

    Yusuke Miyao;Tomoko Ohta;Katsuya Masuda;Yoshimasa Tsuruoka

  • A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora

    Makoto Miwa;Rune Saetre;Yusuke Miyao;Jun'ichi Tsujii

  • Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

    Iryna Gurevych;Yusuke Miyao

  • Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese

    Jun Hatori;Takuya Matsuzaki;Yusuke Miyao;Jun'ichi Tsujii

  • Task-oriented Evaluation of Syntactic Parsers and Their Representations

    Yusuke Miyao;Rune Saetre;Kenji Sagae;Takuya Matsuzaki

  • Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths

    Fei Cheng;Yusuke Miyao

  • TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations.

    Nestor Alvaro;Yusuke Miyao;Nigel Collier

  • Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition

    Daisuke Okanohara;Yusuke Miyao;Yoshimasa Tsuruoka;Jun'ichi Tsujii

  • Overview of NTCIR-9 RITE : Recognizing Inference in TExt

    Hideki Shima;Hiroshi Kanayama;Cheng-Wei Lee;Chuan-Jie Lin

  • Incremental Joint POS Tagging and Dependency Parsing in Chinese

    Jun Hatori;Takuya Matsuzaki;Yusuke Miyao;Jun'ichi Tsujii

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

  • Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

    Iryna Gurevych;Yusuke Miyao

  • Broad-Coverage Semantic Dependency Parsing

    Stephan Oepen;Marco Kuhlmann;Yusuke Miyao;Daniel Zeman

Frequent Co-Authors

Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Yoshimasa Tsuruoka
Yoshimasa Tsuruoka University of Tokyo
Kenji Sagae
Kenji Sagae University of California, Davis
Jan Hajič
Jan Hajič Charles University
Stephan Oepen
Stephan Oepen University of Oslo
Yuji Matsumoto
Yuji Matsumoto Nara Institute of Science and Technology
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Christopher D. Manning
Christopher D. Manning Stanford University
Tomoko Ohta
Tomoko Ohta University of Tokyo
Joakim Nivre
Joakim Nivre Uppsala University

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