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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.

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Authors (9)
  1. Ellen Voorhees (2 papers)
  2. Tasmeer Alam (2 papers)
  3. Steven Bedrick (7 papers)
  4. Dina Demner-Fushman (22 papers)
  5. Kyle Lo (73 papers)
  6. Kirk Roberts (32 papers)
  7. Ian Soboroff (13 papers)
  8. Lucy Lu Wang (41 papers)
  9. William R Hersh (2 papers)
Citations (81)

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