Processing Metonymy and Metaphorprovides good answers to the expectations it title raisesthe book provides far more than just an approach for processing two tropes: the whole methods gives a way to distinguish diifferent tropes and literal language, to process meaning representations, and to resolve lexical ambiguity. —Computational Linguistics |
Contents
Chapter 1 | 18 |
What Is NonLiteral Language? | 25 |
Chapter 3 | 96 |
Copyright | |
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adjective agent algorithm animal antonomasia arcs Artificial Intelligence ARTIST FOR ARTFORM assertion belief car drinks gasoline Carbonell cell match Chapter composition1 Computational Computational Linguistics Conceptual Dependency constraints CONTAINER FOR CONTENTS copula described dictionary example explicit source explicit target Fass Figure graph search algorithm ham sandwich Helmreich hierarchy Hobbs Ibid ill-formed input implicit term john_mcenroe knowledge knowledge representation Lakoff & Johnson Lakoff and Johnson lexical ambiguity linguistic litotes mapping Martin McEnroe meaning meta5 metallel metaphor and metonymy metaphor interpretation metaphorical concepts metaphorical relation metonymic concepts metonymic inference metonymic interpretation metonymy and metaphor natural language natural language processing network path nonliteral language noun phrase noun senses Nunberg object plough primitives processing Pustejovsky referential metonymy relationship relevant cell representation Section selection restriction semantic relations semantic vector sense-frame sense-network path sentence source and target Stallard structure supertype supertype supertype synecdoche syntactic tion tropes types verb sense violation Weischedel Wilks word senses