Understand
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.
Built on
Improving retrieval performance by relevance feedback
Gerard Salton and Chris Buckley · 1997
Earlier work this paper cites.
The philosophy of information retrieval evaluation
Ellen M. Voorhees · 2002
Earlier work this paper cites.
TREC Genomics special issue overview
William Hersh and Ellen Voorhees · 2009
Earlier work this paper cites.
Similar
Overview of the TREC 2012 Medical Records track
Ellen M. Voorhees and William Hersh · 2012
Cited alongside, same era.
Overview of the TREC 2015 Clinical Decision Support Track
Kirk Roberts, Matthew S. Simpson, Ellen Voorhees, and William Hersh · 2015
Cited alongside, same era.
Overview of the TREC 2017 Precision Medicine Track
Kirk Roberts, Dina Demner-Fushman, Ellen M. Voorhees, William R. Hersh, Steven Bedrick, Alexandar Lazar, and Shubham Pant · 2017
Cited alongside, same era.
Then
On building fair and reusable test collections using bandit techniques
Ellen M. Voorhees · 2018
Later among the works it cites.
Cord-19: The covid-19 open research dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William. Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, and Sebastian Kohlmeier · 2020
Closest in time.
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