The differences between WN distance and Google distance, and that between our own MLP and the Weka implementation of Naive Bayes, are also significant (by a sign test, p ≤ .05), whereas the pairwise differences between our own MLP and Weka's NN, and between this and the Naive Bayes classifier, aren't.
although we find little difference between using WordNet and Google to compute lexical distance, using WordNet leads to slightly better results for BDs.