Explanatory power for medical expert systems: studies in the representation of causal relationships for clinical consultations
Generating natural language text in response to questions about database structure
Generating natural language text in response to questions about database structure
Unifying representation and generalization: understanding hierarchically structured objects
Unifying representation and generalization: understanding hierarchically structured objects
A plan-based analysis of indirect speech acts
Computational Linguistics
Tailoring object descriptions to a user's level of expertise
Computational Linguistics - Special issue on user modeling
The use of memory in text processing
Communications of the ACM
Artificial Intelligence Review
On the relationship between user models and discourse models
Computational Linguistics - Special issue on user modeling
Functional unification grammar revisited
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Conceptual revision for natural language generation
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
RESEARCHER: an experimental intelligent information system
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Combining discourse strategies to generate descriptions to users along a naive/expert spectrum
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Talking to virtual humans: dialogue models and methodologies for embodied conversational agents
ZiF'06 Proceedings of the Embodied communication in humans and machines, 2nd ZiF research group international conference on Modeling communication with robots and virtual humans
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It is widely recognized that a question-answering system should be able to tailor its answers to the user. One of the dimensions along which this tailoring can occur is with respect to the level of knowledge of a user about a domain. In particular, responses should be different depending on whether they are addressed to naive or expert users. To understand what those differences should be, we analyzed texts from adult and junior encyclopedias. We found that two different strategies were used in describing complex physical objects to juniors and adults. We show how these strategies have been implemented on a test database.