An underlying assumption of this approach is that WordNet is a gold standard for semantic similarity, which, as is discussed by Weeds (2003), is unrealistic.
it seems reasonable to suppose that a distributional similarity measure that more closely predicts a semantic measure based on WordNet is more likely to be a good predictor of semantic similarity.