This paper presents a new approach to measure the semantic similarity between concepts. By exploiting advantages of distance (edge-base) approach for taxonomic tree-like concepts, we enhance the strength of information theoretic (node-based) approach. Our measure therefore gives a complete view of word similarity, which cannot be achieved by solely applying node-based approach. Our experimental measure achieves 88% correlation with human rating.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten