TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pandemic. One of the key characteristics of pandemic search is the accelerated rate of change: the topics of interest evolve as the pandemic progresses and the scientific literature in the area explodes. The COVID-19 pandemic provides an opportunity to capture this progression as it happens. TREC-COVID, in creating a test collection around COVID-19 literature, is building infrastructure to support new research and technologies in pandemic search.
@article{arxiv.2005.04474,
title = {TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection},
author = {Ellen Voorhees and Tasmeer Alam and Steven Bedrick and Dina Demner-Fushman and William R Hersh and Kyle Lo and Kirk Roberts and Ian Soboroff and Lucy Lu Wang},
journal= {arXiv preprint arXiv:2005.04474},
year = {2020}
}
Comments
10 pages, 5 figures. TREC-COVID web site: http://ir.nist.gov/covidSubmit/ Will also appear in June 2020 issue of ACM SIGIR Forum