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Eiji ARAMAKI, Ph.D.

Kyoto, Japan.

Eiji ARAMAKI is a professor at NAIST (Nara Institute of Science and Technology), Japan, working on information science. His research interests are in natural language processing (NLP) for the medical field His works are shown in (# of citation > 2100; h-index=21). Also, he is leading the art project.



Education Experience
Ph.D. University of Tokyo, 2005.
M.S. Kyoto University, 2002.
B.S. Kyoto University, 2000.
2005/04-2008/03 The University of Tokyo Hospital, Assistant professor
2008/04-2013/03 The University of Tokyo, Lecturer
2013/04-2015/08 Kyoto University, Associate professor
2015/09-2020/03 NAIST, Associate professor
2020/04- NAIST, professor

Academic Service
2020, Area Chair, AACL2020.
2020, Area Chair, ACL2020.
2019, Editorial Board, Journal of Medical Artificial Intelligence (impact Factor: 4.8).
2019, Guest Editorial Board, Journal of Information Processing & Management (impact Factor: 3.9)
2018, Area Chair, EMNLP 2018.
2014, Editorial Board, Journal of Annals of Translational Medicine & Epidemiology.
2012-2018, NTCIR MedNLP task co-chair (NTCIR 11, 12, 13 and 14).

Selected Publications
  • Hisada, Murayama, Tsubouchi, Fujita, Yada, Wakamiya, and Aramaki: Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location information , Scientific Reports, 2020. (impact factor=4.1)
  • Shibata, Ito, Nagai, Okahisa, Kinoshita, Aramaki: Idea density in Japanese for the early detection of dementia based on narrative, PLoS One, Volume 13 (Number 12), pp. e0208418, 2018. (impact factor=2.8)
  • Wakamiya, Kawai, Aramaki: Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study, JMIR Public Health and Surveillance, Volume 4 (Number 39), pp. e65, 2018. (2018 IMIA Best Paper (0.3%; 3/805))
  • Iso, Uehara, Ishigaki, Noji, Aramaki, Kobayashi, Miyao, Okazaki, Takamura: Learning to Select, Track, and Generate for Data-to-Text, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL) 2019. (acceptance ratio=25%)



    荒牧英治(奈良先端科学技術大学院大学(NAIST)・教授)
    電子カルテテキストの解析などの医療自然言語処理に関する研究,及び,ソーシャルメディア応用に関する研究に従事. 最近は,アートを生み出すAIに関する活動も試みている.
    業績詳細は,http://luululu.com/aramaki にて.
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    絵は大きい方が気持ちいい
    音楽は小さい方が楽しい
    大きく描くことは 世界をよく視ること
    小さく鳴らすことは 耳をすますこと
    音も光も 遠くからとどく


    PHOTO





    DRAWING



    "series: music everywhere" (2021) acrylic on canvas, 30cm * 30cm

    MUSIC

    MOVIE





    Copyright © 1995 Eiji ARAMAKI All Rights Reserved