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Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.
preprintrevised on 26.08.2020, 08:12 and posted on 26.08.2020, 08:31 by Vadim V. Korolev, Artem Mitrofanov, Kirill Karpov, Valery Tkachenko
The main advantage of modern natural language processing methods is a possibility to turn an amorphous human-readable task into a strict mathematic form. That allows to extract chemical data and insights from articles and to find new semantic relations. We propose a universal engine for processing chemical and biological texts. We successfully tested it on various use-cases and applied to a case of searching a therapeutic agent for a COVID-19 disease by analyzing PubMed archive.