H93-1105 continue to focus on classifier-based sense resolution methods . We hope to improve
H93-1061 constructed to use in studies of sense resolution in context ( semantic disambigua
H93-1051 frequency function words . With sense resolution , the salient tokens include
H93-1051 testing contexts is 44.5 words . The sense resolution task used the following six senses
H93-1061 of words that can be used for sense resolution . One solution would be to draw
H93-1051 network classifiers . For the sense resolution problem , each sense is represented
H93-1051 senses in WordNet . 1 Automatic sense resolution systems need to resolve highly
H93-1061 given us a tool for our studies of sense resolution in context . In the course of
H93-1103 such information will facilitate sense resolution . The value of such analyses
H93-1061 alternative methods of automatic sense resolution . The alternative strategy starts
H93-1051 does affect the difficulty of the sense resolution task , a greater factor of performance
H93-1061 promises to simplify the task of sense resolution . However , the morphology of
H93-1051 approach \ -LSB- 9 \ -RSB- casts sense resolution as a supervised learning paradigm
H93-1105 are currently studying automatic sense resolution procedures . In one approach
H93-1061 testing procedures for the automatic sense resolution in context . It should be pointed
H91-1077 . It will also be assumed that sense resolution for individual words can be accomplished
E97-1007 most of the techniques for word sense resolution have been presented as stand-alone
H93-1051 sense on corpus-based statistical sense resolution methods . To enable us to study
H93-1061 organization obviously facilitates sense resolution : if the topic is baseball ,
H91-1077 sense of a polysemous word . " Sense resolution " might be a better term , but
hide detail