Public machine reading system for Alzheimer’s Disease literature

Tsutsui, Satoshi; Meng, Guilin; Ding, Ying

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https://hdl.handle.net/2142/96701 Copy

Description

Title

Public machine reading system for Alzheimer’s Disease literature

Author(s)

• Tsutsui, Satoshi
• Meng, Guilin
• Ding, Ying

Issue Date

2017

Keyword(s)

• Alzheimer’s Disease
• Machine reading
• Knowledge discovery

Date of Ingest

2017-07-27T15:57:48Z

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/

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Genre of Resource

Conference Poster

Language

en

Permalink

http://hdl.handle.net/2142/96701

Copyright and License Information

Copyright 2017 Satoshi Tsutsui, Guilin Meng, and Ying Ding

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