The latter question is tackled by applicationspecific evaluation , where a measure is tested within the framework of a certain application , e.g. word sense disambiguation ( Patwardhan et al. , 2003 ) or malapropism detection ( Budanitsky and Hirst , 2006 ) .
using measures of semantic relatedness for word sense disambiguation
Siddharth Patwardhan Satanjeev Banerjee Ted Pedersen
Mathematical analysis can assess a measure with respect to some formal properties , e.g. whether a measure is a metric ( Lin , 1998 ) .4 However , mathematical analysis can not tell us whether a measure closely resembles human judgments or whether it performs best when used in a certain application . The latter question is tackled by applicationspecific evaluation , where a measure is tested within the framework of a certain application , e.g. word sense disambiguation ( Patwardhan et al. , 2003 ) or malapropism detection ( Budanitsky and Hirst , 2006 ) . Lebart and Rajman ( 2000 ) argue for application-specific evaluation of similarity measures , because measures are always used for some task .
The latter question is tackled by applicationspecific evaluation , where a measure is tested within the framework of a certain application , e.g. word sense disambiguation ( @@CITATION ) or malapropism detection ( Budanitsky and Hirst , 2006 ) .