Planning natural language utterances to satisfy multiple goals
Planning natural language utterances to satisfy multiple goals
Generating natural language text in response to questions about database structure
Generating natural language text in response to questions about database structure
Reference identification and reference identification failures
Computational Linguistics
Modeling the user in natural language systems
Computational Linguistics - Special issue on user modeling
The berkeley UNIX consultant project
Computational Linguistics
The Berkeley UNIX Consultant Project
Artificial Intelligence Review
User models and discourse models
Computational Linguistics - Special issue on user modeling
Dialog control in a natural language system
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
User modelling, dialog structure, and dialog strategy in HAM-ANS
EACL '85 Proceedings of the second conference on European chapter of the Association for Computational Linguistics
Linguistic coherence: a plan-based alternative
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
A pragmatics-based approach to understanding intersentential ellipsis
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Repairing reference identification failures by relaxation
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
User models: the problem of disparity
COLING '86 Proceedings of the 11th coference on Computational linguistics
Tailoring explanations for the user
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
User modeling and user interfaces
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
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One of the promising approaches to analyzing task-oriented dialogues has involved modeling the plans of the speakers in the task domain. In general, these models work well as long as the topic follows the task structure closely, but they have difficulty in accounting for clarification subdialogues and topic change. We have developed a model based on a hierarchy of plans and metaplans that accounts for the clarification subdialogues while maintaining the advantages of the plan-based approach.