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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Bibliografiska uppgifter
Huvudupphovsmän: Xu, Hua, Markatou, Marianthi, Dimova, Rositsa, Liu, Hongfang, Friedman, Carol
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2006
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC1550263/
https://ncbi.nlm.nih.gov/pubmed/16822321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-334
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