Eiji ARAMAKI (荒牧英治)

tiny music on a large canvas
大きな絵と小さな音楽

Eiji ARAMAKI, Ph.D.

Professor, NAIST, Japan
荒牧英治（奈良先端科学技術大学院大学・教授）

I am a professor of Social Computing Laboratory, NAIST (Nara Institute of Science and Technology). The publications are shown in

(# of citation > 2400; h-index=23). I am also an amateur painter and a music composer.
奈良先端科学技術大学院大学・教授．ソーシャル・コンピューティング研究室主宰．時々，絵画制作と絵画制作を行う（一部は研究として）．

Research Interests
Natural Language Processing (NLP), Medical NLP, Social Computing, Media Art

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

Academic Service
2021, NTCIR Real MedNLP task co-chair.
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).

RESEARCH WORKS

My research interest is medical natural language processing (MedNLP) and social computing.
電子カルテテキストの解析，医師や患者のコミュニケーション解析，医学生物学論文の解析，ソーシャルメディアの医療応用など，研究業績は，luululu.com/aramaki にて．

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%)