For instance, WordNet-based measures (H&S (Hirst and St-Onge, 1998), L&C (Leacock and Chodorow, 1998), Lesk (Banerjee and Pedersen, 2002), W&P (Wu and Palmer, 1994), Resnik (Resnik, 1995) J&C (Jiang and Conrath, 1997), Lin (Lin, 1998)) and Roget thesaurus-based measure (Jarmasz and Szpakowicz, 2004) achieved higher accuracy on MC30 and RG65 datasets.
these approaches may not fit well for the datasets that contain non-dictionary words, therefore, the accuracy of knowledge-based measures decrease significantly on other datasets.