Computational Linguistics
WordNet: a lexical database for English
Communications of the ACM
Knowledge Representation and Metaphor
Knowledge Representation and Metaphor
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Systematicity and the lexicon in creative metaphor
LexFig '03 Proceedings of the ACL 2003 workshop on Lexicon and figurative language - Volume 14
The competence of sub-optimal theories of structure mapping on hard analogies
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Analogy generation with HowNet
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI
Evaluation of analogical proportions through Kolmogorov complexity
Knowledge-Based Systems
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Metaphor and analogy are perhaps the most challenging aspects of linguistic creativity for a conceptual representation to facilitate, since by their very nature they seek to stretch the boundaries of domain description and dynamically establish new ways of determining inter-domain similarity. By solving the vexing representational problems posed by these phenomena, we can create a more fluid conceptual organization that is more suited to creative processing in general. Toward this end, this paper considers the problem of how a conceptual system structured around a central taxonomy can dynamically create new categories or types to understand creative metaphors and analogies. We demonstrate that the conventional wisdom regarding metaphor and analogy - that such processes are creative because clever word-play is indicative of an underlying mental agility and suppleness of conceptual structure - also withstands theoretical scrutiny when considered from the perspective of current creativity research.