Covid Papers

This sample workspace demonstrates how to build a Curiosity Workspace using data from the COVID-19 Open Research Dataset Challenge (CORD-19). CORD-19 is a resource of over 1,000,000 scholarly articles about COVID-19, SARS-CoV-2, and related coronaviruses. This dataset is provided to the global research community to apply natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease.

In this sample workspace, you will learn how to:

• Build a data connector to ingest the CORD-19 dataset in a Curiosity Workspace

• Build a custom front-end to navigate the data

• Use NLP models to capture entities and link them in the graph

• Visualize and explore the CORD-19 data

The full source code for this sample workspace will be available soon on GitHub.