Combining word embeddings to extract chemical and drug entities in biomedical literature

BACKGROUND: Natural language processing (NLP) and text mining technologies for the extraction and indexing of chemical and drug entities are key to improving the access and integration of information from unstructured data such as biomedical literature. METHODS: In this paper we evaluate two importa...

Descripción completa

Detalles Bibliográficos
Autores principales: López-Úbeda, Pilar, Díaz-Galiano, Manuel Carlos, Ureña-López, L. Alfonso, Martín-Valdivia, M. Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684055/
https://www.ncbi.nlm.nih.gov/pubmed/34920708
http://dx.doi.org/10.1186/s12859-021-04188-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684055/
https://www.ncbi.nlm.nih.gov/pubmed/34920708
http://dx.doi.org/10.1186/s12859-021-04188-3

Ejemplares similares