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  1. ; ; ; ; ; ; ; (, Proceedings of the 2020 EMNLP (Systems Demonstrations), Association for Computational Linguistics)
    null (Ed.)
    The COVID-19 pandemic has sparked un- precedented mobilization of scientists, gener- ating a deluge of papers that makes it hard for researchers to keep track and explore new directions. Search engines are designed for targeted queries, not for discovery of con- nections across a corpus. In this paper, we present SciSight, a system for exploratory search of COVID-19 research integrating two key capabilities: first, exploring associations between biomedical facets automatically ex- tracted from papers (e.g., genes, drugs, dis- eases, patient outcomes); second, combining textual and network information to search and visualize groups of researchers and their ties. SciSight1 has so far served over 15K users with over 42K page views and 13% returns 
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