[HTML][HTML] Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

H Xu, M Markatou, R Dimova, H Liu, C Friedman - BMC bioinformatics, 2006 - Springer
Background Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

[PDF][PDF] Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

H Xu, M Markatou, R Dimova, H Liu… - BMC …, 2006 - researchgate.net
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

Machine learning and word sense disambiguation in the biomedical domain: Design and evaluation issues

H Xu, M Markatou, R Dimova, H Liu… - BMC …, 2006 - mayoclinic.elsevierpure.com
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

[HTML][HTML] Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

H Xu, M Markatou, R Dimova, H Liu… - BMC …, 2006 - ncbi.nlm.nih.gov
Background Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues.

H Xu, M Markatou, R Dimova, H Liu… - BMC …, 2006 - europepmc.org
Background Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

[PDF][PDF] Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

H Xu, M Markatou, R Dimova, H Liu… - BMC …, 2006 - academia.edu
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

L Hongfang, D Rositsa, M Marianthi, X Hua, F Carol - 2006 - agris.fao.org
Background Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

[HTML][HTML] Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

H Xu, M Markatou, R Dimova… - BMC …, 2006 - bmcbioinformatics.biomedcentral …
Word sense disambiguation (WSD) is critical in the biomedical domain for improving the
precision of natural language processing (NLP), text mining, and information retrieval …

[PDF][PDF] Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

H Xu, M Markatou, R Dimova, H Liu, C Friedman - BMC Bioinformatics, 2006 - Citeseer
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …

Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

H Xu, M Markatou, R Dimova, H Liu… - BMC …, 2006 - pubmed.ncbi.nlm.nih.gov
Background Word sense disambiguation (WSD) is critical in the biomedical domain for
improving the precision of natural language processing (NLP), text mining, and information …