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Title:Public machine reading system for Alzheimer’s Disease literature
Author(s):Tsutsui, Satoshi; Meng, Guilin; Ding, Ying
Subject(s):Alzheimer’s Disease
Machine reading
Knowledge discovery
Abstract:Alzheimer's disease (AD) is an incurable disease that has a high social impact, and requires further research. However, the current amount of literature is already overwhelming that even AD researchers cannot follow. This is a serious problem because it could hinder the progress of research. With this motivation, we started a project collaborating with AD researchers, aiming to contribute the AD research as computer and information scientists. As a preliminary result from the project, we introduce a search system on AD powered by machine reading, which is the idea to use computers to read thousands or millions of papers. The system is available in public: http://homes.soic.indiana.edu/stsutsui/machine_reading/
Issue Date:2017
Publisher:iSchools
Citation Info:Tsutsui, S., Meng, G., & Ding, Y. (2017). Public Machine Reading System for Alzheimer’s Disease Literature. In iConference 2017 Proceedings (pp. 693-697). https://doi.org/10.9776/17321
Series/Report:iConference 2017 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96701
DOI:https://doi.org/10.9776/17321
Rights Information:Copyright 2017 Satoshi Tsutsui, Guilin Meng, and Ying Ding
Date Available in IDEALS:2017-07-27


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