ECAI 2004 Conference Paper

[full paper]

WordNet sits the S.A.T. A Knowledge-Based Approach to Lexical Analogy

Tony Veale

One can measure the extent to which a knowledge-base enables intelligent or creative behavior by determining how useful such a knowledge-base is to the solution of standard psychometric or scholastic tests. In this paper we consider the utility of WordNet, a comprehensive lexical knowledge-base of English word meanings, to the solution of S.A.T. analogies. We propose that such analogies test a student’s ability to recognize and estimate a measure of pairwise analogical similarity, and describe an algorithmic formulation of this measure that uses the taxonomic structure of WordNet. We report that the knowledge-based approach yields a precision at least equal to that of statistical machine-learning approaches.

Keywords: Analogy, WordNet, Similarity, Creativity

Citation: Tony Veale: WordNet sits the S.A.T. A Knowledge-Based Approach to Lexical Analogy . In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.606-610.