Extraction of semantic biomedical relations from text using conditional random fields

BACKGROUND: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of automated information extraction tools. Named entity recognition of well-defined objects, such as genes or proteins, has a...

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Detalles Bibliográficos
Autores principales: Bundschus, Markus, Dejori, Mathaeus, Stetter, Martin, Tresp, Volker, Kriegel, Hans-Peter
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2386138/
https://www.ncbi.nlm.nih.gov/pubmed/18433469
http://dx.doi.org/10.1186/1471-2105-9-207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2386138/
https://www.ncbi.nlm.nih.gov/pubmed/18433469
http://dx.doi.org/10.1186/1471-2105-9-207

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