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Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.

preprint
revised on 26.08.2020 and posted on 26.08.2020 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.

History

Email Address of Submitting Author

mitrofjr@gmail.com

Institution

Science Data Software, LLC

Country

USA

ORCID For Submitting Author

0000-0001-8891-6862

Declaration of Conflict of Interest

No conflict of interest

Version Notes

Fixed typos, added Supporting Information

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