NORMA eResearch @NCI Library

A computational model of conceptual combination

Maguire, Phil, Maguire, Rebecca and Cater, Arthur W. S. (2008) A computational model of conceptual combination. In: Proceedings of the Thirtieth Conference of the Cognitive Science Society. Lawrence Erlbaum Associates, Mahwah, NJ, pp. 59-64.

[thumbnail of A_computational_model_of_conceptual_combination_paper.pdf]
Preview
PDF
Download (105kB) | Preview

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: Book Section
Subjects: B Philosophy. Psychology. Religion > Psychology > Knowledge, Theory of
Divisions: School of Business > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 14 May 2014 13:58
Last Modified: 14 May 2014 13:58
URI: https://norma.ncirl.ie/id/eprint/1229

Actions (login required)

View Item View Item