We show that the intuition for including these notions in WordNet-based similarity measures does not always stand up to empirical examination.
the traditional definitions of depth and density as ordinal integer values in the hierarchical structure of WordNet does not always correlate with human judgment of lexical semantic similarity, which imposes strong limitations on their contribution to an accurate similarity measure.