Extracting chemical reactions from text using Snorkel.

Emily K MalloryMatthieu de RochemonteixAlex RatnerAmbika AcharyaChris ReRoselie A BrightRuss B Altman

Published in: BMC bioinformatics (2020)

With this work, we built a database of chemical reaction relationships from almost 900,000 scientific abstracts without a large training set of labeled annotations. Further, we showed the generalizability of our initial application built on MetaCyc documents enriched with chemical reactions to a general set of articles related to bacteria.

Keyphrases

emergency department
smoking cessation
pet imaging
virtual reality
drug induced