In our setting we are only interested in the positive specificity, i.e., the set of most relevant words appearing in the contextual information.
our approach combines knowledge from both resources, providing two advantages: (1) more effective measurement of similarity based on rich semantic representations, and (2) the possibility of measuring cross-resource semantic similarity, i.e., between Wikipedia pages and WordNet synsets.