TEAM: an experiment in the design of transportable natural-language interfaces
Artificial Intelligence
Artificial Intelligence - Special volume on natural language processing
Computational Linguistics
Logical Structures in the Lexicon
Proceedings of the First SIGLEX Workshop on Lexical Semantics and Knowledge Representation
Künstliche Intelligenz, GWAI-88, 12. Jahrestagung
met*: a method for discriminating metonymy and metaphor by computer
Computational Linguistics
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
On the interaction of metonymies and anaphora
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
| Hi-index | 0.00 |
Meaning shifting phenomena such as metonymy have recently attracted increasing interest of researchers. Though these phenomena have been addressed by plenty of computational methods, the impacts of cardinalities of metonymically related items have been widely ignored in all of them. Motivated by this lack of analysis, we have developed a method for representing expectations and knowledge about the cardinalities of metonymically related entities and for exploiting this information to build logical forms expressing metonymic relations, the entities related, and their cardinalities. The representation of lexically motivated knowledge is realized as an enhancement to Pustejovsky's Generative Lexicon, and the process of building logical forms takes into account overwriting of default information and mismatch of cardinality requirements. Our method enables a precise attachment of sentence complements, and it supports reference resolution in the context of metonymic expressions.