Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics

BACKGROUND: The development of robust methods for chemical named entity recognition, a challenging natural language processing task, was previously hindered by the lack of publicly available, large-scale, gold standard corpora. The recent public release of a large chemical entity-annotated corpus as...

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Detalles Bibliográficos
Autores principales: Batista-Navarro, Riza, Rak, Rafal, Ananiadou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331696/
https://www.ncbi.nlm.nih.gov/pubmed/25810777
http://dx.doi.org/10.1186/1758-2946-7-S1-S6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331696/
https://www.ncbi.nlm.nih.gov/pubmed/25810777
http://dx.doi.org/10.1186/1758-2946-7-S1-S6

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