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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,...

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Hlavní autoři: Xu, Hua, Markatou, Marianthi, Dimova, Rositsa, Liu, Hongfang, Friedman, Carol
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2006
Témata:
On-line přístup: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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