research product . Other ORP type . 2020

Denmark's Participation in the Search Engine TREC COVID-19 Challenge:Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19

Lima, Lucas Chaves; Hansen, Casper; Hansen, Christian; Wang, Dongsheng; Maistro, Maria; Larsen, Birger; Simonsen, Jakob Grue; Lioma, Christina;
Open Access English
  • Published: 01 Jan 2020
  • Publisher: arxiv.org/list/cs.IR
  • Country: Denmark
Abstract
This report describes the participation of two Danish universities, University of Copenhagen and Aalborg University, in the international search engine competition on COVID-19 (the 2020 TREC-COVID Challenge) organised by the U.S. National Institute of Standards and Technology (NIST) and its Text Retrieval<br/>Conference (TREC) division. The aim of the competition was to find the best search engine strategy for retrieving precise biomedical scientific information on COVID-19 from the largest, at that point in time, dataset of curated scientific literature on COVID-19—the COVID-19 Open Research Dataset (CORD-19).<br/>CORD-19 was the result of a call to action to t...
Subjects
free text keywords: TREC COVID-19, CORD-19, COVID-19, Information Retrieval, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, SDG 3 - Good Health and Well-being
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Other ORP type . 2020
Provider: VBN
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