A web application to extract key information from journal articles

peter.suber's bookmarks 2019-08-22

Summary:

"Non-expert readers are thus typically unable to understand scientific articles, unless they are curated and made more accessible by third parties who understand the concepts and ideas contained within them. With this in mind, a team of researchers at the Texas Advanced Computing Center in the University of Texas at Austin (TACC), Oregon State University (OSU) and the American Society of Plant Biologists (ASPB) have set out to develop a tool that can automatically extract important phrases and terminology from research papers in order to provide useful definitions and enhance their readability...."

Link:

https://techxplore.com/news/2019-08-web-application-key-journal-articles.html

From feeds:

Open Access Tracking Project (OATP) » peter.suber's bookmarks

Tags:

oa.new oa.extraction oa.intelligibility oa.lay oa.ai oa.authors

Date tagged:

08/22/2019, 15:38

Date published:

08/22/2019, 11:38