Eiji ARAMAKI (荒牧英治)

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

言語の研究をする / text
大きな絵を描く / drawing
都市の音楽をつくる / composing

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 at NAIST (Nara Institute of Science and Technology), Japan, working on information science. My research interests are in natural language processing (NLP) for the medical field. I am also the PI of the Social Computing Laboratory, NAIST (2015-). I am working as one of NTCIR MedNLP task chairs. His publications are shown in

(# of citation > 2100; h-index=21). I am now trying to AI supported art works (music and drawing).

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, such as analysis of electronic medical records and social media applications. Recently, he has been experimenting with AI-based arts. His research achievements can be found at http://luululu.com/aramaki.
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．最近は情報技術を用いたアートの拡張を試みている．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%)