Therefore we only apply this heuristic to instances that are labeled with extremely high confidence (θ cf ≥ 2.5) and that pass a global sanity check, gsc(w) ≥ 0.2, which ensures that a relatively high proportion of labeled instances with the same head noun have been assigned to the same semantic class.
gsc(w) = 0.1 * where w l and w u are the # of labeled and unlabeled instances, respectively, w l/c is the # of instances labeled as c, and w u/c is the # of unlabeled instances that receive a positive confidence score for c when given to the classifier.