Questions, answers, and responses: interacting with knowledge base systems
On knowledge base management systems: integrating artificial intelligence and d atabase technologies
Inferring domain plans in question-answering
Inferring domain plans in question-answering
Pragmatic modeling in information system interfaces (goals, dialogue, plans, ill-formedness)
Pragmatic modeling in information system interfaces (goals, dialogue, plans, ill-formedness)
A plan-based analysis of indirect speech acts
Computational Linguistics
Determining verb phrase referents in dialogs
Computational Linguistics
Focusing for interpretation of pronouns
Computational Linguistics
A plan recognition model for clarification subdialogues
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Modeling the user's plans and goals
Computational Linguistics - Special issue on user modeling
Planning for problem formulation in advice-giving dialogue
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
Goal recognition through goal graph analysis
Journal of Artificial Intelligence Research
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A significant component of a user model in an information-seeking dialogue is the task-related plan motivating the information-seeker's queries. A number of researchers have modeled the plan inference process and used these models to design more robust natural language interfaces. However in each case, it has been assumed that the system's context model and the plan under construction by the information-seeker are never at variance. This paper addresses the problem of disparate plans. It presents a four phase approach and argues that handling disparate plans requires an enriched context model. This model must permit the addition of components suggested by the information seeker but not fully supported by the system's domain knowledge, and must differentiate among its components according to the kind of support accorded each component as a correct part of the information-seeker's overall plan. It is shown how a component's support should affect the system's hypothesis about the source of error once plan disparity is suggested.