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Knowledge-based biomedical word sense disambiguation: comparison of approaches
BACKGROUND: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be used to annotate the biomedical literature. Statistical learning approaches have produced good results, but the size of th...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3001745/ https://www.ncbi.nlm.nih.gov/pubmed/21092226 http://dx.doi.org/10.1186/1471-2105-11-569 |