Rchr
J-GLOBAL ID:201101010211101689   Update date: Jan. 25, 2026

Aramaki Eiji

アラマキ エイジ | Aramaki Eiji
Affiliation and department:
Other affiliations (5):
  • National Institute of Advanced Industrial Science and Technology
  • 国立がんセンター(NCC)  客員研究員
  • 大阪国際がんセンター  特別研究員
  • Kyoto University  Graduate School of Medicine 
  • Institute of Medical Science
Homepage URL  (2): https://luululu.com/jahttps://luululu.com/en
Research field  (3): Web and service informatics ,  Medical systems ,  Intelligent informatics
Research keywords  (15): コミュニティ型コンテンツ ,  SNS ,  コンテンツホール検索 ,  Wikipedia ,  検索 ,  ブログ ,  コミュニティ ,  Web2.0 ,  画像・言語・音声等認識 ,  情報システム ,  自然言語処理 ,  人工知能 ,  情報工学 ,  機械学習 ,  医療・福祉
Research theme for competitive and other funds  (51):
  • 2022 - 2028 Data-driven exploration through deeper real-world text processing
  • 2024 - 2027 Medical Language Processing for Patient Narratives
  • 2023 - 2026 Development of a Practical Medical Dictionary for Medical Term Entity Linking
  • 2023 - 2026 Development of a Practical Medical Terminology Dictionary toward Entity Linking
  • 2023 - 2026 Development of smartphone cognitive behavioral therapy with individual recommendation system for preventing depression
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Papers (228):
  • Masami Tsuchiya, Mari Inoue, Yoshimasa Kawazoe, Kiminori Shimamoto, Tomohisa Seki, Shungo Imai, Hayato Kizaki, Emiko Shinohara, Shuntaro Yada, Shoko Wakamiya, et al. A scalable natural language processing framework for drug repurposing in chemotherapy-induced adverse events from clinical narrative records. European journal of cancer (Oxford, England : 1990). 2026. 232. 116157-116157
  • Kazuhiro Ito, Shoko Wakamiya, Masae Manabe, Yasushi Watanabe, Masataka Nakayama, Yukiko Uchida, Eiji Aramaki. Social harmony at work: A sharedness index linking team atmosphere to individual well-being in a Japanese company. PLOS one. 2025. 20. 12. e0336368
  • Kiyoto Hashimoto, Noriko Kudo, Tomohiro Nishiyama, Minami Kinouchi, Keita Kawai, Norio Ozaki, Eiji Aramaki. Cross-specialty analysis of japanese perinatal EHR narratives using large language models: Documentation asymmetry and the classification of depressive states (Preprint). 2025
  • Tomohiro Nishiyama, Shuntaro Yada, Shoko Wakamiya, Satoko Hori, Eiji Aramaki. Monitoring over-the-counter drug misuse in japanese user-generated data. Studies in health technology and informatics. 2025. 329. 733-737
  • Yuka Otsuki, Shuntaro Yada, Tomohiro Nishiyama, Toshiyuki Sakurai, Masafumi Okada, Noriko Kudo, Kyoko Kawabata, Takako Fujimaki, Hiroyuki Nagai, Shoko Wakamiya, et al. Efficient maintenance of large-scale medical dictionaries using large language models: A case for biomarkers. Studies in health technology and informatics. 2025. 329. 804-808
more...
MISC (392):
  • Wan Jou She, Lis Kanashiro Pereira, Fei Cheng, Sakiko Yahata, Panote Siriaraya, Eiji Aramaki. EmplifAI: A fine-grained dataset for japanese empathetic medical dialogues in 28 emotion labels. 2026
  • Shohei Hisada, Endo Sunao, Himi Yamato, Shoko Wakamiya, Eiji Aramaki. Filling in the clinical gaps in benchmark: Case for HealthBench for the japanese medical system. 2025
  • 大野 由紀子, 青森 達, 清宮 啓介, 西山 智弘, 奥田 りりか, 疋田 夕真, 河添 仁, 望月 眞弓, 荒牧 英治, 大谷 壽一. 自然言語処理技術を用いたバンコマイシン塩酸塩による有害事象の症例検出. 日本医薬品情報学会総会・学術大会講演要旨集. 2025. 27回. 106-106
  • 荒牧 英治, 西山 智弘, 若宮 翔子. 【生成AIを始める前の基盤数理技術】医療言語処理の新展開. Medical imaging technology. 2025. 43. 2. 40-45
  • Kohei Tsuji, Tatsuya Hiraoka, Yuchang Cheng, Eiji Aramaki, Tomoya Iwakura. Investigating Neurons and Heads in Transformer-based LLMs for Typographical Errors. CoRR. 2025. abs/2502.19669
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Patents (21):
Books (18):
  • 自然言語処理の循環器診療への応用の課題と展望-Toward natural language processing-based cardiology Al application-特集 循環器病学の未来 : 基本計画から考える循環器病学のグランドデザイン ; AI・数理モデルによる循環器疾患診療・研究の変貌
    医歯薬出版 2022
  • 医療施設におけるAI音声認識・自然言語処理の活用事例
    [LSIメディエンス] アニムス編集委員会 2022
  • 「デジタル対話」の臨床応用 AIとの対話による医療補助の現状と今後
    2021
  • Medical natural language processing to human AI symbiosis
    2020
  • City Link: Finding Similar Areas in Two Cities Using Twitter Data.
    Springer 2019
more...
Lectures and oral presentations  (686):
  • Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts
    (Studies in Health Technology and Informatics 2024)
  • Detection of Adverse Event Signals with Severity Grade Classification from Cancer Patient Narrative
    (Studies in Health Technology and Informatics 2024)
  • Using the natural language processing system MedNER-J to analyze pharmaceutical care records: Natural language processing analysis (Preprint)
    (2023)
  • NAISTSOCRR at the NTCIR-17 MedNLP-SC Radiology Report Subtask
    (Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies 2023)
  • Visualyre: multimodal album art generation for independent musicians.
    (Personal and Ubiquitous Computing 2023)
more...
Works (1):
  • Inter Media Translation: Kyoto Art Center (KAC)
    Eiji ARAMAKI, Sengen TSUKUDA 2005 - 2005
Education (3):
  • 2002 - 2005 The University of Tokyo Graduate School of Information Science and Technology
  • 2000 - 2002 Kyoto University Graduate School of Informatics
  • 1995 - 2000 Kyoto University Faculty of Integrated Human Studies
Professional career (1):
  • 情報理工学 (東京大学)
Work history (6):
  • 2024/11 - 現在 Institute of Medical Science
  • 2020/04 - 現在 Nara Institute of Science and Technology Division of Information Science Professor
  • 2015/09 - 2020/03 Nara Institute of Science and Technology
  • 2013/04 - 2015/08 Kyoto University Design School Associate professor
  • 2009/04 - 2013/03 The University of Tokyo
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Committee career (9):
  • 2017 - 現在 人工知能学会 代議員
  • 2018 - 2024 New generation computing Editorial Board
  • 2019 - 2023 自然言語処理学会 理事
  • 2018 - 2019 EMNLP Area Chair
  • 2017 - 2019 自然言語処理学会 編集委員
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Awards (8):
  • 2025/08 - Best Paper Award Best Paper Award
  • 2020 - 人工知能学会 人工知能学会論文賞
  • 2018 - IMIA IMIA Best Paper
  • 2017 - NTCIR13, MedWeb Task Best System Award
  • 2016/03 - インタラクション2016 ベストペーパー・アワード
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Association Membership(s) (4):
人工知能学会 ,  医療情報学会 ,  言語処理学会 ,  ACL
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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