An intelligent analyzer and understander of English
Communications of the ACM
Preference semantics, ill-formedness, and metaphor
Computational Linguistics - Special issue on ill-formed input
The logical analysis of lexical ambiguity
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
An Intelligent Lexicon for Contextual Word Sense Discrimination
Applied Intelligence
met*: a method for discriminating metonymy and metaphor by computer
Computational Linguistics
Processing metonymy: a domain-model heuristic graph traversal approach
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
A statistical approach to the processing of metonymy
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
HLT '89 Proceedings of the workshop on Speech and Natural Language
A method of calculating the measure of salience in understanding metaphors
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
The Syntactic Features and Identification Analysis of "Planting" Verb Metaphors
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Chinese noun phrase metaphor recognition with maximum entropy approach
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
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A computational approach to metonymy and metaphor is proposed that distinguishes between them, literalness, and anomaly. The approach supports Lakoff and Johnson's (1980) views that metonymy and metaphor are quite different phenomena, that in metonymy an entity stands for another, whereas in metaphor an entity is viewed as another.