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

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 sources of inf...

Descripción completa

Detalles Bibliográficos
Autores principales: Tarasova, O. A., Rudik, A. V., Biziukova, N. Yu., Filimonov, D. A., Poroikov, V. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375066/
https://www.ncbi.nlm.nih.gov/pubmed/35964150
http://dx.doi.org/10.1186/s13321-022-00633-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375066/
https://www.ncbi.nlm.nih.gov/pubmed/35964150
http://dx.doi.org/10.1186/s13321-022-00633-4

Ejemplares similares