Maguire, Phil, Maguire, Rebecca and Cater, Arthur (2008) A Computational Model of Conceptual Combination. Proceedings of the Annual Meeting of the Cognitive Science Society, 30. pp. 59-64. ISSN 1069-7977
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Official URL: https://escholarship.org/uc/item/07f9z4v4
Abstract
We describe the Interactional-Constraint (ICON) model of
conceptual combination. This model is based on the idea that
combinations are interpreted by incrementally constraining
the range of interpretation according to the interacting
influence of both constituent nouns. ICON consists of a series
of discrete stages, combining data from the British National
Corpus, the WordNet lexicon and the Web to predict the
dominant interpretation of a combination and a range of
factors relating to ease of interpretation. One of the major
advantages of the model is that it does not require a tailored
knowledge base, thus broadening its scope and utility. We
evaluate ICON’s reliability and find that it is accurate in
predicting word senses and relations for a wide variety of
combinations. However, its ability to predict ease of
interpretation is poor. The implications for models of
conceptual combination are discussed.
Item Type: | Article |
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Additional Information: | Suggested citation: Maguire, P., Maguire, R., & Cater, A. W. (2008). A Computational Model of Conceptual Combination. Proceedings of the Annual Meeting of the Cognitive Science Society, 30. Retrieved from https://escholarship.org/uc/item/07f9z4v4 |
Keywords: | Conceptual combination; noun-noun compounds; paraphrase frequencies; WordNet; language comprehension; |
Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Psychology |
Item ID: | 10332 |
Depositing User: | Phil Maguire |
Date Deposited: | 17 Dec 2018 16:01 |
Journal or Publication Title: | Proceedings of the Annual Meeting of the Cognitive Science Society |
Publisher: | Cognitive Science Society |
Refereed: | Yes |
URI: | https://mural.maynoothuniversity.ie/id/eprint/10332 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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