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Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
BACKGROUND: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information retrieval systems because ambiguous words negatively impact accurate access to literature containing biomolecular entities,...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550263/ https://www.ncbi.nlm.nih.gov/pubmed/16822321 http://dx.doi.org/10.1186/1471-2105-7-334 |