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COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research

Authors :
Verspoor, Karin
Šuster, Simon
Otmakhova, Yulia
Mendis, Shevon
Zhai, Zenan
Fang, Biaoyan
Lau, Jey Han
Baldwin, Timothy
Yepes, Antonio Jimeno
Martinez, David
Publication Year :
2020

Abstract

We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language processing methods to structure and organise information in publications, and augments search by providing a visual overview supporting exploration of a collection to identify key articles of interest. We developed this system over COVID-19 literature to help medical professionals and researchers explore the literature evidence, and improve findability of relevant information. COVID-SEE is available at http://covid-see.com.<br />Comment: COVID-SEE is available at http://covid-see.com

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2008.07880
Document Type :
Working Paper