Analyzing COVID Medical Papers with Azure and Text Analytics for Health

The idea to apply NLP methods to scientific literature seems quite natural. First of all, scientific texts are already well-structured, they contain things like keywords, abstract, as well as well-defined terms. Thus, at the very beginning of COVID pandemic, a research challenge has been launched on Kaggle to analyze scientific papers on the subject. The dataset behind this competition is called CORD (publication), and it contains constantly updated corpus of everything that is published on topics related to COVID. Currently, it contains more than 400000 scientific papers, about half of them - with full text.