Attention, intentions, and the structure of discourse
Computational Linguistics
Effects of incremental output on incremental natural language generation
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
The Performance of an Incremental Generation Component for Multi-Modal Dialog Contributions
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
Planning text for advisory dialogues: capturing intentional and rhetorical information
Computational Linguistics
Constraint projection: an efficient treatment of disjunctive feature descriptions
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
On designing task-oriented intelligent interfaces: an e-mail based design framework
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
| Hi-index | 0.00 |
This paper presents a computational model of incremental utterance production in task-oriented dialogues. This model incrementally produces utterances to propose the solution of a given problem, while simultanceously solving the problem in a stepwise manner. Even when the solution has been partially determined, this model starts utterances to satisfy time constraints where pauses in mid-utterance must not exceed a certain length. The results of an analysis of discourse structure in a dialogue corpus are presented and the fine structure of discourse that contributes to the incremental strategy of utterance production is described. This model utilizes such a discourse structure to incrementally produce utterances constituting a discourse. Pragmatic constraints are exploited to guarantee the relevance of discourses, which are evaluated by an utterance simulation experiment.