Generating natural language text in response to questions about database structure
Generating natural language text in response to questions about database structure
Correcting object-related misconceptions (natural language)
Correcting object-related misconceptions (natural language)
A knowledge representation approach to understanding metaphors
Computational Linguistics
Understanding pragmatically ill-formed input
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
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In order to adequately respond to misconceptions involving an object's properties, we must have a context-sensitive method for determining object similarity. Such a method is introduced here. Some of the necessary contextual information is captured by a new notion of object perspective. It is shown how object perspective can be used to account for different responses to a given misconception in different contexts.