Getting computers to talk like you and me
Getting computers to talk like you and me
A pragmatics-based approach to ellipsis resolution
Computational Linguistics
Empirical studies of discourse representations for natural language interfaces
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
A syntactic approach to discourse semantics
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for 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
Pragmatic sensitivity in NL interfaces and the structure of conversation
COLING '86 Proceedings of the 11th coference on Computational linguistics
Wizard of Oz studies: why and how
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
A model for habitable and efficient dialogue management for natural language interaction
Natural Language Engineering
Modeling dialogue by functional subcategorization
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Dialogue actions for natural language interfaces
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Dialogue segmentation with large numbers of volunteer internet annotators
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
A method for development of dialogue managers for natural language interfaces
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
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This paper describes a system for managing dialogue in a natural language interface. The proposed approach uses a dialogue manager as the overall control mechanism. The dialogue manager accesses domain independent resources for interpretation, generation and background system access. It also uses information from domain dependent knowledge sources, which are customized for various applications.Instead of using complex plan-based reasoning, the dialogue manager uses information about possible interaction structures and information from the specific dialogue situation to manage the dialogue. This is motivated from the analysis of a series of experiments where users interacted with a simulated natural language interface. The dialogue manager integrates information about segment types and moves into a hierarchical dialogue tree. The dialogue tree is accessed through a scoreboard which uses exchangeable access functions. The control is distributed and the dialogue is directed from action plans in the nodes in the dialogue tree.