Recognizing Text Plans
نویسندگان
چکیده
Traditional plan recognition systems try to recognize a user's domain plan from the user's queries. In contrast, the Interactive Discourse Planner (IDP) tries to recognize an expansion of its own text plan from the user's queries. During interaction, IDP builds a text plan in reaction to user feedback that it uses as the discourse context. IDP uses this text plan to analyze user questions for indications on how to continue. This discourse model allows IDP to provide explanations that are concise in highly interactive discussions. This paper compares the type of plan recognition that IDP performs to models for traditional plan recognition.
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تاریخ انتشار 1998