This technique combines classifier wrapping (using the training material internally to test experimental variants) (Kohavi and John, 1997) with progressive sampling of training material (Provost et al., 1999).
we transform the semantic role labeling task to a classification task in which we decide for all pairs of verbs and chunks whether they stand in a semantic role relation.