A computational theory of grounding in natural language conversation
A computational theory of grounding in natural language conversation
A plan-based analysis of indirect speech acts
Computational Linguistics
A process model for recognizing communicative acts and modeling negotiation subdialogues
Computational Linguistics
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Journal of Artificial Intelligence Research
Clarification potential of instructions
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Managing implicit assumptions in natural language interfaces
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
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In this paper we motivate and describe a dialogue manager (called Frolog) which uses classical planning to infer causal implicatures. A causal implicature is a type of Gricean relation implicature, a highly context dependent form of inference. As we shall see, causal implicatures are important for understanding the structure of task-oriented dialogues. Such dialogues locate conversational acts in contexts containing both pending tasks and the acts which bring them about. The ability to infer causal implicatures lets us interleave decisions about "how to sequence actions" with decisions about "when to generate clarification requests"; as a result we can model task-oriented dialogue as an interactive process locally structured by negotiation of the underlying task. We give several examples of Frolog-human dialog, discuss the limitations imposed by the classical planning paradigm, and indicate the potential relevance of our work for other relation implicatures.