TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19

Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Lu Wang, William R. Hersh

Research output: Contribution to journalArticle

Abstract

TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and clinical research during the COVID-19 pandemic. IR for pandemics breaks many normal assumptions, which can be seen by examining nine important basic IR research questions related to pandemic situations. TREC-COVID differs from traditional IR shared task evaluations with special considerations for the expected users, IR modality considerations, topic development, participant requirements, assessment process, relevance criteria, evaluation metrics, iteration process, projected timeline, and the implications of data use as a post-task test collection. This article describes how all these were addressed for the particular requirements of developing IR systems under a pandemic situation. Finally, initial participation numbers are also provided, which demonstrate the tremendous interest the IR community has in this effort.

Original languageEnglish (US)
JournalJournal of the American Medical Informatics Association : JAMIA
DOIs
StateAccepted/In press - May 4 2020

ASJC Scopus subject areas

  • Health Informatics

Fingerprint Dive into the research topics of 'TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19'. Together they form a unique fingerprint.

  • Cite this