A method for computing lexical semantic distance using linear functionals

Del Jensen, Christophe Giraud-Carrier, Nathan Davis

Abstract


This paper presents a novel, knowledge-based method for measuring semantic similarity in support of applications aimed at organizing and retrieving relevant textual information. We show how a quantitative context may be established for what is essentially qualitative in nature by effecting a topological transformation of the lexicon into a metric space where distance is well-defined. We illustrate the technique with a simple example and report on promising experimental results with a significant word similarity problem.

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Type of Paper: Research Paper
Keywords: Semantic distance; Knowledge-based semantics;Topological embedding
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