8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: annotating data by inserting, via a discriminative classification approach independent of using n-grams, boundary tags at boundaries in a speech utterance text based on weighted examples, wherein higher weights indicate more difficult examples, to yield annotated data; and iteratively repeating the annotating of the data, where each successive iteration has a longer turn than an immediately preceding iteration and each successive iteration is used to retrain a model associated with the discriminative classification approach.
8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: annotating data by inserting, via a discriminative classification approach independent of using n-grams, boundary tags at boundaries in a speech utterance text based on weighted examples, wherein higher weights indicate more difficult examples, to yield annotated data; and iteratively repeating the annotating of the data, where each successive iteration has a longer turn than an immediately preceding iteration and each successive iteration is used to retrain a model associated with the discriminative classification approach. 14. The system of claim 8 , wherein the annotating of the data further comprises identifying clauses within the speech utterance text based on the boundary tags.