Voorhees, E.
, Soboroff, I.
, Alam, T.
, Hersh, W.
, Roberts, K.
, Demner-Fushman, D.
, Lo, K.
, Wang, L.
and Bedrick, S.
(2021),
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection, ACM SIGIR Forum, [online], https://doi.org/10.1145/3451964.3451965
(Accessed December 17, 2024)
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TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
Published
Author(s)
, , , William Hersh, Kirk Roberts, Dina Demner-Fushman, Kyle Lo, Lucy L. Wang, Steven Bedrick
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.Citation
ACM SIGIR Forum
Volume
54
Issue
1
Pub Type
Others
Download Paper
Keywords
information retrieval, test collections, TREC
Citation
Issues
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Created February 19, 2021, Updated February 14, 2023