(2007) demonstrates that the general feature space they devise achieves a rate of error reduction ranging from 48% to 88% over a chance baseline accuracy, across classification tasks of varying difficulty.
they also show that their general feature space does not generally improve the classification accuracy over subcategorization frames (see   In this study, we explore a wider range of features for AVC, focusing particularly on various ways to mix syntactic with lexical information.