Eiji ARAMAKI (荒牧英治)

small music & big painting
大きな絵と小さな音楽

絵を描く　音楽をつくる　研究する

音楽　絵画　文章
創作活動に人間の本質があるのではないでしょうか？
自らも制作することで　模索を試みています

music, painting and research

Why do we sing? Why do we paint? Can AI do those?
I am trying to explore this question.

荒牧英治

奈良先端科学技術大学院大学・教授

2000: 京都大学・総合人間学部・卒業．
2002: 京都大学大学院・情報学研究科・修士課程修了．
2005: 東京大学大学院・情報理工学系研究科・博士課程修了．博士（情報理工学）
2005-2020: 東京大学・医学部附属病院・特任助教，京都大学・デザイン学ユニット・特定准教授を経て
2020: 奈良先端科学技術大学院大学・先端科学技術研究科・教授

現在，研究室を主宰しながら自身の平面作品と電子音楽を制作
連絡先: aramaki@is.naist.jp

Eiji ARAMAKI, Ph.D.

Professor, NAIST, Japan

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.
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%)