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
Determining the focus of instruction: content planning for intelligent tutoring systems
Determining the focus of instruction: content planning for intelligent tutoring systems
Intelligent tutoring systems for professionals
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Planning text for advisory dialogues
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Abductive explanation of dialogue misunderstandings
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
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In this paper we discuss a mechanism for modifying context in a tutorial dialogue. The context mechanism imposes a pedagogically motivated misrepresentation (PMM) on a dialogue to achieve instructional goals. In the paper, we outline several types of PMMs and detail a particular PMM in a sample dialogue situation. While the notion of PMMs are specifically oriented towards tutorial dialogue, misrepresentation has interesting implications for context in dialogue situations generally, and also suggests that Grice's maxim of quality needs to be modified.