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

  • 2023 | Encouragement Award (奨励賞)
    • In the 18th Symposium of Young Researcher Association for NLP Studies (NLP若手の会 (YANS) 第18回シンポジウム)
    • Awarded to the first author of outstanding presentations.
  • 2023 | Best paper Award (first place) (最優秀賞)
    • In the 29th Annual Meeting of The Association for Natural Language Processing (言語処理学会第29回年次大会)
    • Awarded to researches recognized as the most outstanding among all submissions.
  • 2023 | Sponsorship Award: Hitachi (スポンサー賞：日立製作所)
    • In the 29th Annual Meeting of The Association for Natural Language Processing (言語処理学会第29回年次大会)
  • 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, An Wang, and 岡崎 直観. 文書レベル関係抽出における根拠認識の統合. 自然言語処理, 31(1):105–133, March 2024.

  2. 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. Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer. In Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), pages (to appear), May 2024.

  2. Youmi Ma, Bhushan Kotnis, Carolin Lawrance, Goran Glavaš, and Naoaki Okazaki. Improving Cross-Lingual Transfer for Open Information Extraction with Linguistic Feature Projection. In Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL), pages 125–138, Singapore, December 2023. (doi: 10.18653/v1/2023.mrl-1.11)

    URL DOI

  3. An Wang, Junfeng Jiang, Youmi Ma, Ao Liu, and Naoaki Okazaki. Generative Data Augmentation for Aspect Sentiment Quad Prediction. In Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM), pages 128–140, Toronto, Canada, July 2023. (doi: 10.18653/v1/2023.starsem-1.12)

    URL DOI

  4. 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 1971–1983, Dubrovnik, Croatia, May 2023.

    URL

  5. 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 783–791, Manila, Philippines, October 2022.

    URL

  6. 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

  7. 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. 綿 祐貴, 金子 正弘, Youmi Ma, 岡崎 直観. 大規模言語モデルに対するサンプリングを活用したメンバーシップ推論攻撃. 言語処理学会第30回年次大会 (NLP2024), A11-3, pp. 3015–3020, 2024年3月.

    URL

  2. Youmi Ma, An Wang, 岡崎 直観. 言語横断ラベル射影を用いた日本語文書レベル関係抽出データセットの構築. 言語処理学会第30回年次大会 (NLP2024), P3-4, pp. 783–788, 2024年3月.

    URL

  3. Youmi Ma, An Wang, 岡崎 直観. 日本語文書レベル関係抽出コーパスの構築. 第18回NLP若手の会シンポジウム, S5-P19, 2023年8月.

  4. 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

  5. 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

  6. 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

  7. 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. Masahiro Kaneko, Youmi Ma, Yuki Wata, and Naoaki Okazaki. Sampling-based Pseudo-Likelihood for Membership Inference Attacks, 2024.

    arXiv

  2. 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

  • 2023 | The 61st Annual Meeting of the Association for Computational Linguistics (ACL)
    • Program Chair Assistant
    • Toronto, Canada
  • 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