Corpus ID: 218581058

TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection

@article{Voorhees2020TRECCOVIDCA,
  title={TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection},
  author={E. Voorhees and Tasmeer Alam and Steven Bedrick and Dina Demner-Fushman and W. Hersh and Kyle Lo and Kirk Roberts and I. Soboroff and Lucy Lu Wang},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.04474}
}
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… Expand
40 Citations
Pandemic Literature Search: Finding Information on COVID-19
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Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID
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Repurposing TREC-COVID Annotations to Answer the Key Questions of CORD-19
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A comparative analysis of system features used in the TREC-COVID information retrieval challenge
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Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
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Information retrieval in an infodemic: the case of COVID-19 publications
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