World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6849
World Ranking
10622
National Ranking
159

Overview

Makoto Miwa is affiliated with the Toyota Technological Institute in Japan, contributing extensively to the field of computer science with a focus on artificial intelligence and related subfields.

Their publication record includes significant work in areas such as biomedical text mining, topic modeling, natural language processing techniques, and computational methods for drug discovery. They have also worked on machine learning applications in materials science and semantic web ontologies, as well as text readability and simplification.

Frequent research topics covered by Makoto Miwa include:

  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Natural Language Processing Techniques
  • Machine Learning in Materials Science
  • Computational Drug Discovery Methods
  • Semantic Web and Ontologies
  • Text Readability and Simplification

Makoto Miwa's research spans several interconnected fields with the following breakdown in publication volume:

  • Artificial Intelligence (53 publications)
  • Molecular Biology (16 publications)
  • Materials Chemistry (10 publications)
  • Computational Theory and Mathematics (4 publications)
  • Computer Vision and Pattern Recognition (4 publications)

They have published frequently in these venues:

  • arXiv (Cornell University)
  • Bioinformatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Biomedical Informatics
  • IEEE Access

Some of their recent papers illustrate the breadth of their work in biomedical and computational text mining:

  • "Using drug descriptions and molecular structures for drug-drug interaction extraction from literature," 2020, Bioinformatics
  • "DeepEventMine: end-to-end neural nested event extraction from biomedical texts," 2020, Bioinformatics
  • "Integrating heterogeneous knowledge graphs into drug-drug interaction extraction from the literature," 2022, Bioinformatics
  • "Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature," 2020, arXiv (Cornell University)
  • "Syntactically-informed word representations from graph neural network," 2020, Neurocomputing

Makoto Miwa frequently collaborates with a set of coauthors, including:

  • Sophia Ananiadou
  • Yutaka Sasaki
  • Kohei Makino
  • Fusataka Kuniyoshi
  • Jun Ozawa

Best Publications

  • End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

    Makoto Miwa;Mohit Bansal

  • Using text mining for study identification in systematic reviews: a systematic review of current approaches

    Alison O’Mara-Eves;James Thomas;John McNaught;Makoto Miwa

  • Modeling Joint Entity and Relation Extraction with Table Representation

    Makoto Miwa;Yutaka Sasaki

  • A Neural Layered Model for Nested Named Entity Recognition

    Meizhi Ju;Makoto Miwa;Sophia Ananiadou

  • Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

    Fenia Christopoulou;Makoto Miwa;Makoto Miwa;Sophia Ananiadou

  • EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES

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

  • Reducing systematic review workload through certainty-based screening

    Makoto Miwa;James Thomas;Alison O'Mara-Eves;Sophia Ananiadou

  • Deep Exhaustive Model for Nested Named Entity Recognition

    Mohammad Golam Sohrab;Makoto Miwa

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

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

  • Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

    Sunil Kumar Sahu;Fenia Christopoulou;Makoto Miwa;Sophia Ananiadou

  • Event extraction across multiple levels of biological organization

    Sampo Pyysalo;Tomoko Ohta;Makoto Miwa;Han-Cheol Cho

  • Discovering and visualizing indirect associations between biomedical concepts

    Yoshimasa Tsuruoka;Makoto Miwa;Kaisei Hamamoto;Jun'ichi Tsujii

  • Boosting automatic event extraction from the literature using domain adaptation and coreference resolution

    Makoto Miwa;Paul Thompson;Sophia Ananiadou

  • Simple Customization of Recursive Neural Networks for Semantic Relation Classification

    Kazuma Hashimoto;Makoto Miwa;Yoshimasa Tsuruoka;Takashi Chikayama

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

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

  • Word Embedding-based Antonym Detection using Thesauri and Distributional Information

    Masataka Ono;Makoto Miwa;Yutaka Sasaki

  • Topic detection using paragraph vectors to support active learning in systematic reviews

    Kazuma Hashimoto;Georgios Kontonatsios;Makoto Miwa;Sophia Ananiadou

  • A Walk-based Model on Entity Graphs for Relation Extraction.

    Fenia Christopoulou;Makoto Miwa;Sophia Ananiadou

  • Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.

    Fenia Christopoulou;Thy Thy Tran;Thy Thy Tran;Sunil Kumar Sahu;Makoto Miwa

  • Extracting semantically enriched events from biomedical literature.

    Makoto Miwa;Paul Thompson;John McNaught;Douglas B Kell

Frequent Co-Authors

Sophia Ananiadou
Sophia Ananiadou University of Manchester
Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Sampo Pyysalo
Sampo Pyysalo University of Turku
Yoshimasa Tsuruoka
Yoshimasa Tsuruoka University of Tokyo
Tomoko Ohta
Tomoko Ohta University of Tokyo
Yusuke Miyao
Yusuke Miyao University of Tokyo
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Tapio Salakoski
Tapio Salakoski University of Turku
James Thomas
James Thomas University College London
Douglas B. Kell
Douglas B. Kell University of Liverpool

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