Researchers worldwide are seeking to repurpose existing drugs or discover new drugs to counter the disease caused by severe acute respiratory syndromecoronavirus 2 (SARS-CoV-2) A promising source of candidates for such studiesis molecules that have been reported in the scientific literature to bedrug-like in the context of coronavirus research . We report here on a project that leverages both human and artificial intelligence to detect references todrug-like molecules in free text . We engage non-expert humans to create acorpus of labeled text, use this labeled corpus to train a named entityrecognition model .

Author(s) : Zhi Hong, J. Gregory Pauloski, Logan Ward, Kyle Chard, Ben Blaiszik, Ian Foster

Links : PDF - Abstract

Code :

https://github.com/doty-k/world_models


Coursera

Keywords : text - molecules - drugs - labeled - sars -

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