About CORD-19
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CORD-19
COVID-19 Open Research Dataset
The Semantic Scholar team at the Allen Institute for AI has partnered with leading research groups to provide CORD-19, a free resource of more than 280,000 scholarly articles about the novel coronavirus for use by the global research community.
Discover New Insights About the Novel Coronavirus
Quickly explore the latest literature using these open tools built by the team at Allen Institute for AI.
Download CORD-19
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research.
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Adaptive Research Feed
Personalize your free AI-powered Research Feed to get coronavirus research recommendations.
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Recent Research
Query the Semantic Scholar corpus for the latest CORD-19 research sorted by recency.
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SPIKE-CORD
A powerful sentence-level, context-aware, linguistically informed system for extracting important information from a large corpus of COVID-19-related text.
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SciSight
Visually investigate associations between concepts appearing in the scientific literature contained in CORD-19.
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SciFact
Find out whether published scientific research supports or contradicts claims about COVID-19.
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In The News
Microsoft, White House, and Allen Institute release coronavirus data set for medical and NLP researchers
Venture Beat · 2020-03-16
Machine-Learning Experts Delve Into 47,000 Papers on Coronavirus Family
Wall Street Journal · 2020-04-08
You Can’t Spell Creative Without A.I.
New York Times · 2020-04-08
Collaborators
CORD-19 was made possible by the Semantic Scholar team at the Allen Institute for AI in collaboration with the following institutions:
Learn more about CORD-19
View our publication, CORD-19: The Covid-19 Open Research Dataset, to learn about the mechanics of dataset construction, the challenges and key design decisions, and get an overview of applications and shared tasks built around the dataset.
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What Is Semantic Scholar?
Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.
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