NLPCORE

CORD-19 is an Open Research Challenge offered by the coalition of AI2, CZI, MSR, Georgetown, NIH & The White House to apply text mining techniques on existing and recently published research articles related to COVID-19 and other strains of coronavirus and provide responses to a set of 10 challenge tasks. We at NLPCORE collaborated with the School of Engineering and Technology, University of Washington Tacoma and submitted our response for Round 1 today. You can read details of our submission at the challenge website itself at https://www.kaggle.com/varunmittalnlpcore/cord19-round1-response-by-uw-and-nlpcore.

We learnt a great deal in the process and will be refining both quality and presentation of our outputs (currently just csv files as requested by the challenge coordinators) in next couple of months for Round 2 (and beyond).

CORD19 - Round1 Response by UW and NLPCORE Explore and run machine learning code with Kaggle Notebooks | Using data from COVID-19 Open Research Dataset Challenge (CORD-19)

Hurray! Our new corporate site is live at https://nlpcore.com

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