Chemical entity extraction using CRF and an ensemble of extractors

BACKGROUND: As we are witnessing a great interest in identifying and extracting chemical entities in academic articles, many approaches have been proposed to solve this problem. In this work we describe a probabilistic framework that allows for the output of multiple information extraction systems t...

Descripción completa

Detalles Bibliográficos
Autores principales: Khabsa, Madian, Giles, C Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331688/
https://www.ncbi.nlm.nih.gov/pubmed/25810769
http://dx.doi.org/10.1186/1758-2946-7-S1-S12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331688/
https://www.ncbi.nlm.nih.gov/pubmed/25810769
http://dx.doi.org/10.1186/1758-2946-7-S1-S12

Ejemplares similares