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
Plan recognition and discourse analysis: an integrated approach for understanding dialogues
Plan recognition and discourse analysis: an integrated approach for understanding dialogues
Talking it over: the natural language dialog system HAM-ANS
Cooperative interfaces to information systems
A formal theory of plan recognition and its implementation
Reasoning about plans
The contributing influence of speech and interaction on human discourse patterns
Intelligent user interfaces
The application of natural language models to intelligent multimedia
Intelligent multimedia interfaces
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
Toward Systems that Understand Spoken Language
IEEE Expert: Intelligent Systems and Their Applications
ECAI '96 Workshop on Dialogue Processing in Spoken Language Systems
Dialogue management for telephone information systems
ANLC '92 Proceedings of the third conference on Applied natural language processing
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 task independent oral dialogue model
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
A dialogue manager using initiative-response units and distributed control
EACL '91 Proceedings of the fifth 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 three-level model for plan exploration
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Utilizing statistical dialogue act processing in VERBMOBIL
ACL '95 Proceedings of the 33rd 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
Functional constraints in knowledge-based natural language understanding
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
A relaxation method for understanding spontaneous speech utterances
HLT '91 Proceedings of the workshop on Speech and Natural Language
Robust interaction through partial interpretation and dialogue management
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Dialogue and domain knowledge management in dialogue systems
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Multimodal dialogue systems: a case study for interactive TV
ERCIM'02 Proceedings of the User interfaces for all 7th international conference on Universal access: theoretical perspectives, practice, and experience
A context-based grammar generation in mixed initiative dialogue system for visually impaired
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
Towards a user experience design framework for adaptive spoken dialogue in automotive contexts
Proceedings of the 19th international conference on Intelligent User Interfaces
| Hi-index | 0.00 |
Natural language interfaces require dialogue models that allow for robust, habitable and efficient interaction. This paper presents such a model for dialogue management for natural language interfaces. The model is based on empirical studies of human computer interaction in various simple service applications. It is shown that for applications belonging to this class the dialogue can be handled using fairly simple means. The interaction can be modeled in a dialogue grammar with information on the functional role of an utterance as conveyed in the linguistic structure. Focusing is handled using dialogue objects recorded in a dialogue tree representing the constituents of the dialogue. The dialogue objects in the dialogue tree can be accessed by the various modules for interpretation, generation and background system access. Focused entities are modeled in entities pertaining to objects or sets of objects, and related domain concept information; properties of the domain objects. A simple copying principle, where a new dialogue object's focal parameters are instantiated with information from the preceding dialogue object, accounts for most context dependent utterances. The action to be carried out by the interface is determined on the basis of how the objects and related properties are specified. This in turn depends on information presented in the user utterance, context information from the dialogue tree and information in the domain model. The use of dialogue objects facilitates customization to the sublanguage utilized in a specific application. The framework has successfully been applied to various background systems and interaction modalities. In the paper results from the customization of the dialogue manager to three typed interaction applications are presented together with results from applying the model to two applications utilizing spoken interaction.