A multi-aspect comparison study of supervised word sense disambiguation.
The aim of this study was to investigate relations among different aspects in supervised word sense disambiguation (WSD; supervised machine learning for disambiguating the sense of a term in a context) and compare supervised WSD in the biomedical domain with that in the general English domain.
Author(s): Liu, Hongfang, Teller, Virginia, Friedman, Carol
DOI: 10.1197/jamia.M1533