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Paper detail

CORD-19: The COVID-19 Open Research Dataset

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval systems over its rich collection of metadata and structured full text papers. Since its release, CORD-19 has been downloaded over 200K times and has served as the basis of many COVID-19 text mining and discovery systems. In this article, we describe the mechanics of dataset construction, highlighting challenges and key design decisions, provide an overview of how CORD-19 has been used, and describe several shared tasks built around the dataset. We hope this resource will continue to bring together the computing community, biomedical experts, and policy makers in the search for effective treatments and management policies for COVID-19.

preprint2020arXivOpen access
Lucy Lu WangKyle LoYoganand ChandrasekharRussell ReasJiangjiang YangDoug BurdickDarrin EideKathryn FunkYannis KatsisRodney KinneyYunyao LiZiyang LiuWilliam MerrillPaul MooneyDewey MurdickDevvret RishiJerry SheehanZhihong ShenBrandon StilsonAlex WadeKuansan WangNancy Xin Ru WangChris WilhelmBoya XieDouglas RaymondDaniel S. WeldOren EtzioniSebastian Kohlmeier
Computation and LanguageDigital Libraries
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Lucy Lu WangKyle LoYoganand ChandrasekharRussell ReasJiangjiang YangDoug BurdickDarrin EideKathryn FunkYannis KatsisRodney KinneyYunyao LiZiyang LiuWilliam MerrillPaul MooneyDewey MurdickDevvret RishiJerry SheehanZhihong ShenBrandon StilsonAlex WadeKuansan WangNancy Xin Ru WangChris WilhelmBoya XieDouglas RaymondDaniel S. WeldOren EtzioniSebastian Kohlmeier

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