A CRF-based system for recognizing chemical entity mentions (CEMs) in biomedical literature

BACKGROUND: In order to improve information access on chemical compounds and drugs (chemical entities) described in text repositories, it is very crucial to be able to identify chemical entity mentions (CEMs) automatically within text. The CHEMDNER challenge in BioCreative IV was specially designed...

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Detalles Bibliográficos
Autores principales: Xu, Shuo, An, Xin, Zhu, Lijun, Zhang, Yunliang, Zhang, Haodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331687/
https://www.ncbi.nlm.nih.gov/pubmed/25810768
http://dx.doi.org/10.1186/1758-2946-7-S1-S11

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