In fact, the former was unable to model around 35% of the synsets in WordNet 1.7.1, mainly for its shallow exploitation of knowledge from WordNet, whereas the latter approach did not cover around 15% of synsets in WordNet 3.0.  provide near-full coverage for word senses in WordNet.
the relatively low performance of their system shows that the usage of glosses in WordNet and the automated disambiguation have not resulted in accurate sense representations.