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
Expectation-based speech recognition
Proceedings of the NATO Advanced Study Institute on Recent advances in speech understanding and dialog systems
Task-oriented dialogue processing in human-computer voice communication
Proceedings of the NATO Advanced Study Institute on Recent advances in speech understanding and dialog systems
Tailoring object descriptions to a user's level of expertise
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
A computational model of expectation-driven mixed-initiative dialog processing
A computational model of expectation-driven mixed-initiative dialog processing
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Syntax-directed least-errors analysis for context-free languages: a practical approach
Communications of the ACM
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
Systemic Text Generation as Problem Solving
Systemic Text Generation as Problem Solving
Generating Natural Language under Pragmatic Constraints
Generating Natural Language under Pragmatic Constraints
The Linguistic Basis of Text Generation
The Linguistic Basis of Text Generation
Understanding Spoken Language
Control of mixed-initiative discourse through meta-locutionary acts: a computational model
Control of mixed-initiative discourse through meta-locutionary acts: a computational model
On the need for parsing ill-formed input
Computational Linguistics
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
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Cues and control in expert-client dialogues
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Parsing spoken language: a semantic caseframe approach
COLING '86 Proceedings of the 11th coference on Computational linguistics
An Analysis of Initiative Selection in CollaborativeTask-Oriented Discourse
User Modeling and User-Adapted Interaction
Spoken Variable Initiative Dialog: An Adaptable Natural-Language Interface
IEEE Expert: Intelligent Systems and Their Applications
Mechanisms for mixed-initiative human-computer collaborative discourse
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Efficient collaborative discourse: a theory and its implementation
HLT '93 Proceedings of the workshop on Human Language Technology
Towards human-like spoken dialogue systems
Speech Communication
Generating cooperative system responses in information retrieval dialogues
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
A demonstration of the "Circuit fix-it shoppe"
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Decision theoretic dialogue planning for initiative problems
UM'05 Proceedings of the 10th international conference on User Modeling
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A pragmatic architecture for voice dialog machines aimed at the equipment repair problem has been implemented which exhibits a number of behaviors required for efficient human-machine dialog. These behaviors include:(1) problem solving to achieve a target goal,(2) the ability to carry out subdialogs to achieve appropriate subgoals and to pass control arbitrarily from one subdialog to another,(3) the use of a user model to enable useful verbal exchanges and to inhibit unnecessary ones,(4) the ability to change initiative from strongly computer controlled to strongly user controlled or somewhere in between, and(5) the ability to use context dependent expectations to correct speech recognition and track user movement to new subdialogs.A description of the implemented dialog control algorithm is given; an example shows the fundamental mechanisms for achieving the listed behaviors. The system implementation is described, and results from its performance in 141 problem solving sessions are given.