Eiji ARAMAKI, Ph.D.
Eiji ARAMAKI (荒牧英治) is a professor at NAIST (Nara Institute of Science and Technology), Japan, working on information science.
His current research interests are in natural language processing (NLP) for the medical field.
His works are shown in
He has also an art project, based in Kyoto Japan.
Focused on two activities, music and painting.
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%)