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Biomedical word sense disambiguation with ontologies and metadata: automation meets accuracy
BACKGROUND: Ontology term labels can be ambiguous and have multiple senses. While this is no problem for human annotators, it is a challenge to automated methods, which identify ontology terms in text. Classical approaches to word sense disambiguation use co-occurring words or terms. However, most t...
| Autores principales: | , , , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2663782/ https://www.ncbi.nlm.nih.gov/pubmed/19159460 http://dx.doi.org/10.1186/1471-2105-10-28 |