These knowledge sources were effectively used to build a state-of-the-art WSD program in one of our prior work ( Lee and Ng , 2002 ) .
an empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation
Y K Lee H T Ng
The knowledge sources we use include parts-of-speech , local collocations , and surrounding words . These knowledge sources were effectively used to build a state-of-the-art WSD program in one of our prior work ( Lee and Ng , 2002 ) . In performing WSD with a naive Bayes classifier , the sense s assigned to an example with features f1 , ... , fn is chosen so as to maximize : In our domain adaptation study , we start with a WSD system built using training examples drawn from BC .
These knowledge sources were effectively used to build a state-of-the-art WSD program in one of our prior work ( @@CITATION ) .