Dynamic summarization of bibliographic-based data

BACKGROUND: Traditional information retrieval techniques typically return excessive output when directed at large bibliographic databases. Natural Language Processing applications strive to extract salient content from the excessive data. Semantic MEDLINE, a National Library of Medicine (NLM) natura...

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Detalles Bibliográficos
Autores principales: Workman, T Elizabeth, Hurdle, John F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3042900/
https://www.ncbi.nlm.nih.gov/pubmed/21284871
http://dx.doi.org/10.1186/1472-6947-11-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3042900/
https://www.ncbi.nlm.nih.gov/pubmed/21284871
http://dx.doi.org/10.1186/1472-6947-11-6

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