Abstract
An agent's ability to understand an utterance depends upon its ability to relate that utterance to the preceding discourse. The agent must determine whether the utterance begins a new segment of the discourse, completes the current segment, or contributes to it. The intentional structure of the discourse, comprised of discourse segment purposes and their interrelationships, plays a central role in this process (Grosz and Sidner 1986). In this paper, we provide a computational model for recognizing intentional structure and utilizing it in discourse processing. The model is based on the collaborative planning framework of SharedPlans (Grosz and Kraus 1996).
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