One month after the debut of the COVID-19 Open Research Dataset, or CORD-19, the database of coronavirus-related research papers has doubled in size – and has given rise to more than a dozen software tools to channel the hundreds of studies that are being published every day about the pandemic.
In a roundup published on the ArXiv preprint server this week, researchers from Seattle’s Allen Institute for Artificial Intelligence, Microsoft Research and other partners in the project say CORD-19’s collection has risen from about 28,000 papers to more than 52,000. Every day, several hundred more papers are being published, in peer-reviewed journals and on preprint servers such as BioRxiv and MedRxiv.
CORD-19 aims to make sense of them all, using the Semantic Scholar academic search engine developed by the Allen Institute for AI, also known as AI2.
