COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
Karin Verspoor
Simon Suster
Yulia Otmakhova
Shevon Mendis
Zenan Zhai
Biaoyan Fang
Jey Han Lau
Timothy Baldwin
Antonio Jimeno Yepes
David Martínez

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.
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