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TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection (2005.04474v1)
Published 9 May 2020 in cs.IR
Abstract: 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.
- Ellen Voorhees (2 papers)
- Tasmeer Alam (2 papers)
- Steven Bedrick (7 papers)
- Dina Demner-Fushman (22 papers)
- Kyle Lo (73 papers)
- Kirk Roberts (32 papers)
- Ian Soboroff (13 papers)
- Lucy Lu Wang (41 papers)
- William R Hersh (2 papers)