Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Computational Linguistics
Logical Structures in the Lexicon
Proceedings of the First SIGLEX Workshop on Lexical Semantics and Knowledge Representation
Towards a proper treatment of coercion phenomena
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Knowledge extraction from texts: a method for extracting predicate-argument structures from texts
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Metonymy and metaphor: what's the difference?
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Understanding metonymies in discourse
Artificial Intelligence
A probabilistic account of logical metonymy
Computational Linguistics
A statistical approach to the processing of metonymy
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
| Hi-index | 0.00 |
We address here the treatment of metonymic expressions from a knowledge representation perspective, that is, in the context of a text understanding system which aims to build a conceptual representation from texts according to a domain model expressed in a knowledge representation formalism. We focus in this paper on the part of the semantic analyser which deals with semantic composition. We explain how we use the domain model to handle metonymy dynamically, and more generally, to underlie semantic composition, using the knowledge descriptions attached to each concept of our ontology as a kind of concept-level, multiple-role qualia structure. We rely for this on a heuristic path search algorithm that exploits the graphic aspects of the conceptual graphs formalism. The methods described have been implemented and applied on French texts in the medical domain.