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RIKEN Center for Advanced Intelligence Project Knowledge Acquisition Team

Team Leader: Yuji Matsumoto (D.Eng.)

Research Summary

Yuji  Matsumoto(D.Eng.)

A huge amount of knowledge is being produced along with the advance of scientific fields. Such expert knowledge is partly organized in domain databases, but a large portion of it is still kept in scholarly documents. It is time-consuming and cumbersome to construct domain databases and to conduct content-aware retrieval of scholarly documents. The Knowledge Acquisition Team aims at text/figure analysis and knowledge extraction from scholarly documents and also at development of infrastructure for content-aware retrieval of scholarly documents through domain database completion, knowledge organization, relation and summarization technologies.

Research Subjects:

  • Natural Language Processing
  • Knowledge Acquisition
  • Machine Learning

Main Research Fields

  • Informatics

Related Research Fields

  • Multidisciplinary
  • Complex Systems
  • Intelligent informatics

Keywords

  • Natural Language Processing
  • Knowledge Acquisition
  • Machine Learning
  • Information Extraction
  • Information Retrieval

Selected Publications

  • 1. Phi, V-T., Santoso, J., Tran V-H., Shindo H., Shimbo M., Matsumoto, Y.:
    "Distant Supervision for Relation Extraction via Piecewise Attention and Bag-Level Contextual Inference"
    IEEE Access, Volume:7, Issue:1, pp.103570-103582, (2019).
  • 2. Wada T., Iwata T., Matsumoto, Y.:
    "Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models"
    Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), long paper, pp. 3113-3124, (2019).
  • 3. Teranishi, H., Shindo H., Matsumoto, Y.:
    "Decomposed Local Models for Coordinate Structure Parsing"
    Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), long paper, pp.3394-3403, (2019).
  • 4. Tran, V-H., Phi, V-T., Shindo H., Matsumoto, Y.:
    "Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN"
    Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), short paper, pp.2793-2798, (2019).
  • 5. Liu, J., Shindo, H., Matsumoto, Y.:
    "Development of a computer-assisted Japanese functional expression learning system for Chinese-speaking learners"
    Educational Technology Research and Development, Springer, Volume:67, Issue:5, pp.1307-1331, (2019).
  • 6. Phan, D-A., Matsumoto, Y., Shindo, H.:
    "Autoencoder for Semisupervised Multiple Emotion Detection of Conversation Transcripts"
    IEEE Transactions on Affective Computing, (2018).
  • 7. Ouchi, H., Shindo, H., Matsumoto, Y.:
    "A Span Selection Model for Semantic Role Labeling"
    Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pp.1630-1642, (2018).
  • 8. Phi, V-T., Santoso, J., Shimbo M., Matsumoto, Y.:
    "Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction"
    Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-2018), pp.89–95, (2018).
  • 9. Kobayashi, Y., Shimbo, M., Matsumoto, Y.:
    Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles
    Proceedings of The ACM/IEEE Joint Conference on Digital Libraries (JCDL-2018), pp.243-251, (2018).
  • 10. Ouchi, H., Shindo, H., Matsumoto, Y.:
    "Neural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis"
    Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1, pp.1591-1600 (2017).

Related Links

Lab Members

Principal investigator

Yuji Matsumoto
Team Leader

Core members

Noriki Nishida
Postdoctoral Researcher
Hiroki Teranishi
Postdoctoral Researcher
Shanshan Liu
Technical Staff I

Contact Information

Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi, Chuo-ku, Tokyo
Tel: +81-(0)3-6225-2482
Fax: +81-(0)3-3271-7202
Email: yuji.matsumoto [at] riken.jp

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