TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19

Author:

Roberts Kirk1ORCID,Alam Tasmeer2,Bedrick Steven3,Demner-Fushman Dina4,Lo Kyle5,Soboroff Ian2,Voorhees Ellen2,Wang Lucy Lu5,Hersh William R3ORCID

Affiliation:

1. University of Texas Health Science Center at Houston, Houston, Texas, USA

2. National Institute of Standards and Technology, Gaithersburg, Maryland, USA

3. Oregon Health & Science University, Portland, Oregon, USA

4. US National Library of Medicine, Bethesda, Maryland, USA

5. Allen Institute for AI, Seattle, Washington, USA

Abstract

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 9 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.

Funder

Allen Institute for AI and Microsoft Research

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference18 articles.

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1. BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research;Journal of the American Medical Informatics Association;2024-08-28

2. Retrieval augmented scientific claim verification;JAMIA Open;2024-01-04

3. XR4DRAMA a knowledge-based system for disaster management and media planning;The Knowledge Engineering Review;2024

4. Question Answering;Cognitive Informatics in Biomedicine and Healthcare;2024

5. Information Retrieval;Cognitive Informatics in Biomedicine and Healthcare;2024

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