Getting computers to talk like you and me
Getting computers to talk like you and me
Attention, intentions, and the structure of discourse
Computational Linguistics
Modeling the user's plans and goals
Computational Linguistics - Special issue on user modeling
High level knowledge sources in usable speech recognition systems
Communications of the ACM
User models in dialog systems
Plan-based integration of natural language and graphics generation
Artificial Intelligence - Special volume on natural language processing
Intelligent multimedia interfaces
Intelligent multimedia interfaces
Automating the generation of coordinated multimedia explanations
Intelligent multimedia interfaces
Spoken natural language dialog systems: a practical approach
Spoken natural language dialog systems: a practical approach
An architecture for voice dialog systems based on prolog-style theorem proving
Computational Linguistics
Meta-dialogue behaviors: improving the efficiency of human-machine dialogue
Meta-dialogue behaviors: improving the efficiency of human-machine dialogue
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
Improved Bounds about On-line Learning of Smooth Functions of a Single Variable
ALT '96 Proceedings of the 7th International Workshop on Algorithmic Learning Theory
Control of mixed-initiative discourse through meta-locutionary acts: a computational model
Control of mixed-initiative discourse through meta-locutionary acts: a computational model
A model of plan inference that distinguishes between the beliefs of actors and observers
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Toward a plan-based understanding model for mixed-initiative dialogues
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
An algorithm for plan recognition in collaborative discourse
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Mechanisms for mixed-initiative human-computer collaborative discourse
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
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The central mechanism of a dialogue system must be a planner (Allen et al., 1994; Smith et al., 1995; Young et al., 1989) that seeks the dialogue goal and organizes all behaviors for that purpose. Our project uses a hybrid Prolog-like planner (Smith and Hipp, 1994) which first attempts to prove the top-most goal and then initiates interactions with the user when the proof cannot easily be achieved. Specifically, it attempts to discover key missing axioms in the proof that prevent its completion and that may be attainable with the help of the user. The purposes of the interaction are to gather the missing information and to eventually achieve the top-most goal.