Understanding Spoken Language
The representation and use of focus in dialogue understanding.
The representation and use of focus in dialogue understanding.
Salience: the key to the selection problem in natural language generation
ACL '82 Proceedings of the 20th annual meeting on Association for Computational Linguistics
Metaphor: a key to extensible semantic analysis
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
Reasoning on a highlighted user model to respond to misconceptions
Computational Linguistics - Special issue on user modeling
met*: a method for discriminating metonymy and metaphor by computer
Computational Linguistics
The role of perspective in responding to property misconceptions
HLT '86 Proceedings of the workshop on Strategic computing natural language
Computational mechanisms for metaphor in languages: a survey
Journal of Computer Science and Technology
The role of perspective in responding to property misconceptions
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
A method of calculating the measure of salience in understanding metaphors
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
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This study represents an exploration of the phenomenon of non-literal language ("metaphors") and an approach that lends itself to computational modeling. Ortony's theories of the way in which salience and asymmetry function in human metaphor processing are explored and expanded on the basis of numerous examples. A number of factors appear to be interacting in the metaphor comprehension process. In addition to salience and asymmetry, of major importance are incongruity, hyperbolicity, inexpressibility, prototypicality, and probable value range. Central to the model is a knowledge representation system incorporating these factors and allowing for the manner in which they interact. A version of KL-ONE (with small revisions) is used for this purpose.