TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection

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.

10 pages, 5 figures. TREC-COVID web site: http://ir.nist.gov/covidSubmit/ Will also appear in June 2020 issue of ACM SIGIR Forum

Cited by in corpus (7)

• CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
• RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
• CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
• Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
• Repurposing TREC-COVID Annotations to Answer the Key Questions of CORD-19
• Participation in TREC 2020 COVID Track Using Continuous Active Learning
• Exploring task-based query expansion at the TREC-COVID track