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,...

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Detalles Bibliográficos
Autores principales: Xu, Hua, Markatou, Marianthi, Dimova, Rositsa, Liu, Hongfang, Friedman, Carol
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
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

Internet

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

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