Boosting biomedical document classification through the use of domain entity recognizers and semantic ontologies for document representation: The case of gluten bibliome-Reference-Cited by-同舟云学术

Boosting biomedical document classification through the use of domain entity recognizers and semantic ontologies for document representation: The case of gluten bibliome

Published:2021-11 Issue: Volume: Page:
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Pérez-Pérez Martín^ORCID,Ferreira Tânia,Lourenço Anália,Igrejas Gilberto^ORCID,Fdez-Riverola Florentino^ORCID

Funder

Xunta de Galicia

FCT

Xunta de Galicia Consellería de Educacion e Ordenación Universitaria

ERDF

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference111 articles.

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2. A novel gluten knowledge base of potential biomedical and health-related interactions extracted from the literature: Using machine learning and graph analysis methodologies to reconstruct the bibliome;Journal of Biomedical Informatics;2023-07

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