11. In a computing environment, a system, comprising: at least one processor; a memory coupled to the at least one processor; and a speech comprehension component implemented on the at least one processor and configured to receive spoken utterances, process the spoken utterances using a classifier, generate output data comprising settled semantic labels for at least a portion of the spoken utterances and one or more confirmations associated with one or more of the spoken utterances, and assign pseudo-semantic labels for at least another portion of the spoken utterances having denied confirmations using the output data generated, the pseudo-semantic labels comprising representations of an association between the denied confirmations and one or more rejected semantic labels, the speech comprehension component further configured to train a classification model associated with the classifier with the pseudo-semantic labels and the settled semantic labels, and to use the classification model to navigate a speaking entity to desired information.
11. In a computing environment, a system, comprising: at least one processor; a memory coupled to the at least one processor; and a speech comprehension component implemented on the at least one processor and configured to receive spoken utterances, process the spoken utterances using a classifier, generate output data comprising settled semantic labels for at least a portion of the spoken utterances and one or more confirmations associated with one or more of the spoken utterances, and assign pseudo-semantic labels for at least another portion of the spoken utterances having denied confirmations using the output data generated, the pseudo-semantic labels comprising representations of an association between the denied confirmations and one or more rejected semantic labels, the speech comprehension component further configured to train a classification model associated with the classifier with the pseudo-semantic labels and the settled semantic labels, and to use the classification model to navigate a speaking entity to desired information. 12. The system of claim 11 , wherein the speech comprehension component is further configured to automatically generate a pseudo-semantic label for each spoken utterance having a denied confirmation, the pseudo-semantic label being a concept consistent with the denied confirmation, satisfying the classification model, and selected from a set of potential semantic labels, the set of potential semantic labels comprising potential concepts.