Measuring the semantic relatedness between words and images
Chee Wee Leong, Rada F. Mihalcea · 2011
Measures of similarity have traditionally focused on computing the semantic relatedness between pairs of words and texts. In this paper, we construct an evaluation framework to quantify cross-modal semantic relationships that exist between arbitrary pairs of words and images. We study the effectiveness of a corpus-based approach to automatically derive the semantic relatedness between words and images, and perform empirical evaluations by measuring its correlation with human annotators. 1