Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach

Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach

Abstract Motivation Application of chemical named entity recognition (CNER) algorithms allows retrieval of information from texts about chemical compound identifiers and creates associations with physical–chemical properties and biological activities. Scientific texts represent low-formalized source...

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Bibliographic Details
Main Authors: O. A. Tarasova, A. V. Rudik, N. Yu. Biziukova, D. A. Filimonov, V. V. Poroikov
Format: Article
Language:English
Published: BMC 2022-08-01
Series:Journal of Cheminformatics
Subjects:
Chemical named entity recognition
CNE
CNER
Naïve Bayes classifier
SARS-CoV-2
Mpro inhibitors
Online Access:https://doi.org/10.1186/s13321-022-00633-4

Internet

https://doi.org/10.1186/s13321-022-00633-4

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