Natural language generation from plans
Computational Linguistics
Speaking of actions: choosing rhetorical status and grammatical form in instructional text generation
Interactive generation of plan descriptions and justifications
Interactive generation of plan descriptions and justifications
The effect of resource limits and task complexity on collaborative planning in dialogue
Artificial Intelligence - Special volume on empirical methods
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Expressing procedural relationships in multilingual instructions
INLG '94 Proceedings of the Seventh International Workshop on Natural Language Generation
Cooperative plan identification: constructing concise and effective plan descriptions
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Artificial Intelligence
ICVS '01 Proceedings of the International Conference on Virtual Storytelling: Using Virtual Reality Technologies for Storytelling
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
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Previous work on the generation of natural language descriptions of complex activities has indicated that the unwieldy amount of text needed to describe complete plans makes for ineffective and unnatural descriptions. We argue here that concise and effective text descriptions of plans can be generated by exploiting a model of the hearer's plan reasoning capabilities. We define a computational model of the hearer's interpretation process that views the interpretation of plan descriptions as refinement search through a space of partial plans. This model takes into account the hearer's plan preferences and the resource limitations on her reasoning capabilities to determine the completed plans she will construct from a given partial description.