Generating explanatory discourse
Current research in natural language generation
Generating descriptions that exploit a user's domain knowledge
Current research in natural language generation
The role of the user's domain knowledge in generation
Computational Intelligence
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
A Model for Adapting Explanations to the User‘s Likely Inferences
User Modeling and User-Adapted Interaction
Generating referring expressions in a domain of objects and processes (language representation)
Generating referring expressions in a domain of objects and processes (language representation)
Information state and dialogue management in the TRINDI dialogue move engine toolkit
Natural Language Engineering
A robust system for natural spoken dialogue
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Sarcasm, Deception, and Stating the Obvious: Planning Dialogue without Speech Acts
Artificial Intelligence Review
GoDiS: an accommodating dialogue system
ConversationalSys '00 Proceedings of the ANLP-NAACL 2000 Workshop on Conversational Systems
Matrix proof methods for modal logics
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Deep Reasoning in Clarification Dialogues with Mobile Robots
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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This paper discusses an implemented dialogue system which generates the meanings of utterances by taking into account: the surface mood of the user's last utterance; the meanings of all the user's utterances from the current discourse; the system's expert knowledge; and the system's beliefs about the current situation arising from the discourse (including its beliefs about the user and her beliefs, and its beliefs about what is 'common knowledge'). The system formulates the content of its responses by employing an epistemic theorem prover to do deep reasoning. During the reasoning process, it remembers the proof tree it constructs, and from this derives the meaning of an explanatory response.