1. In a computing environment, a method performed at least in part on at least one processor, comprising, providing a classifier for a speech recognition system, including, processing spoken utterances associated with the speech recognition system, for each spoken utterance having a denied confirmation, assigning a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels, and updating a classification model associated with the classifier using each assigned pseudo-semantic label.