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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| 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 |