Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
A computational model of metaphor interpretation
A computational model of metaphor interpretation
Using multiple knowledge sources for word sense discrimination
Computational Linguistics
Computational Linguistics
Word expert parsing: a theory of distributed word-based natural language understanding
Word expert parsing: a theory of distributed word-based natural language understanding
met*: a method for discriminating metonymy and metaphor by computer
Computational Linguistics
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
The logical analysis of lexical ambiguity
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Metonymy and metaphor: what's the difference?
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Representing regularities in the metaphoric lexicon
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Construction of a bilingual dictionary intermediated by a third language
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
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This paper presents a lexical model dedicated to the semanticrepresentation and interpretation of individual words inunrestricted text, where sense discrimination is difficult toassess. We discuss the need of a lexicon including local inferencemechanisms and cooperating with as many other knowledge sources(about syntax, semantics and pragmatics) as possible. We suggest a’minimal‘ representation (that is, the smallest representationpossible) acting as a bridge between a conceptual representation andthe microscopic sense variations of lexical semantics. We describean interpretation method providing one or many alternativecandidate(s) to the word, as representatives of its meaning in thesentence (and text).