First, we establish a reliable partial clustering of units by using synonym choice and then we use these partial clusters as training texts for supervised learning using generic words as features.
formally, our measure of correspondence between the desired clustering and the actual one is computed by first normalizing rows and then computing the weight of the majority diagonal relative to the whole.