CLIRAug 18, 2020

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

arXiv:2008.07880v120 citations
Originality Synthesis-oriented
AI Analysis

This system helps medical professionals and researchers explore COVID-19 literature, but it is incremental as it builds on existing text analysis methods.

The authors tackled the problem of navigating COVID-19 medical literature by developing COVID-SEE, a system that structures and visualizes publications to aid exploration, resulting in improved findability of relevant information for users.

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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