Youmi Ma

Youmi Ma

Ph.D Student

Biography - Youmi Ma

I am Youmi Ma, a Ph.D student majoring in Artificial Intelligence at Okazaki Laboratory, Department of Computer Science, School of Computing, Tokyo Institute of Technology.

Research Interests

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

Education

  • Sept. 2021 - present | Doctor of Engineering
    • School of Computing, Tokyo Institute of Technology, Tokyo, Japan
    • Major: Artificial Intelligence
    • Supervisor: Prof. Naoaki Okazaki
  • Sept. 2019 - Jul. 2021 | Master of Engineering
    • School of Computing, Tokyo Institute of Technology, Tokyo, Japan
    • Major: Artificial Intelligence
    • Minor: Cybersecurity
    • Supervisor: Prof. Naoaki Okazaki
  • Sept. 2015 - Jul. 2019 | Bachelor of Engineering

Awards and Scholarships

  • 2021 | Young Researcher’s Encouragement Award (若手奨励賞)
    • In the 27th Annual Meeting of The Association for Natural Language Processing (言語処理学会第27回年次大会)
    • Awarded to young researchers who have presented their work in the annual meeting and recognized as prospective.
  • 2019 – now | Japanese Government (MEXT) Scholarship
    • Japanese Government (Monbukagakusho)
    • Awarded to prospective foreign students who study in higher education institutions in Japan.
  • 2019 | Further Education Funding
    • ShanghaiTech University
    • Awarded to prospective graduates who decide to proceed to higher education.
  • 2016 - 2018 | Dean’s Scholarship
    • ShanghaiTech University
    • Awarded to top students each year regarding their outstanding performance in the academic field.

Publications

See details on Google Scholar.

Journal papers

  1. Youmi Ma, Tatsuya Hiraoka, and Naoaki Okazaki. Named Entity Recognition and Relation Extraction Using Enhanced Table Filling by Contextualized Representations. 自然言語処理, 29(1):187–223, March 2022. (doi: 10.5715/jnlp.29.187)

    DOI

International conferences

  1. Youmi Ma, An Wang, and Naoaki Okazaki. DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (EACL), pages (to appear), Dubrovnik, Croatia, May 2023.

  2. Hsuan-Yu Kuo, Youmi Ma, and Naoaki Okazaki. Annotating Entity and Causal Relationships on Japanese Vehicle Recall Information. In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC), pages (to appear), October 2022.

  3. Youmi Ma, Tatsuya Hiraoka, and Naoaki Okazaki. Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks. In Proceedings of the Sixth Workshop on Structured Prediction for NLP (SPNLP), pages 11–21, Dublin, Ireland, May 2022. (doi: 10.18653/v1/2022.spnlp-1.2)

    URL Code DOI

  4. Zixia Jia, Youmi Ma, Jiong Cai, and Kewei Tu. Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pages 6795–6805, Online, July 2020. (doi: 10.18653/v1/2020.acl-main.607)

    URL DOI

Domestic conferences

  1. 服部 翔, Youmi Ma, 岡崎 直観. クエリ指向要約におけるクエリと要約の統合的な生成. 言語処理学会第29回年次大会 (NLP2023), H5-2, pp. 1244–1249, 2023年3月.

    URL

  2. Youmi Ma, An Wang, 岡崎 直観. 文書レベル関係抽出における根拠認識の統合. 言語処理学会第29回年次大会 (NLP2023), B3-3, pp. 605–610, 2023年3月.

    URL

  3. Youmi Ma, 平岡 達也, 岡崎 直観. 畳み込みニューラルネットワークを用いた表ラベリングによる固有表現認識と関係抽出 . 言語処理学会第28回年次大会 (NLP2022), pp. 1197–1202, 2022年3月.

    URL

  4. Youmi Ma, 平岡 達也, 岡崎 直観. BERTを用いたTable-Fillingによる固有表現抽出と関係抽出. 言語処理学会第27回年次大会 (NLP2021), pp. 1274–1279, 2021年3月.

    URL

Preprints

  1. Youmi Ma, Tatsuya Hiraoka, and Naoaki Okazaki. Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations, 2020.

    arXiv

Other Experiences

Collaborate Research/Internship

Teaching Assistants

  • 2022 | Machine Learning (Tokyo Institute of Technology)
  • 2021 | Machine Learning (Tokyo Institute of Technology)
  • 2021 | Fundamentals of Artificial Intelligence (Tokyo Institute of Technology)
  • 2020 | Fundamentals of Artificial Intelligence (Tokyo Institute of Technology)
  • 2017 | Linear Algebra (ShanghaiTech University)
  • 2017 | Discrete Mathematics (ShanghaiTech University)

Talks

  • Feb.28, 2023 | Plenary Meeting of AIRC-KIRT team
    • Topic: Guiding Attention with Evidence for Improving Document-level Relation Extraction

Program Committee

  • 2022 | 6th Workshop on Structured Prediction for NLP
    • Program Committee
    • Dublin, Ireland
  • 2016 | ShanghaiTech Symposium on Information Science and Technology (SSIST)
    • on-site volunteer
    • Shanghai, China