One promising computational approach to understanding dialogues has involved modeling the goals of the speakers in the domain of discourse. In general, these models work well as long as the topic follows the goal structure closely, but they have difficulty accounting for interrupting subdialogues such as clarifications and corrections. Furthermore, such models are typically unable to use many processing clues provided by the linguistic phenomena of the dialogues. This dissertation ...
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