WordNet contains 20% of the Animal concepts and 51% of the People concepts learned by our algorithm, which confirms that many of these concepts were considered to be valuable taxonomic terms by the WordNet developers.
our human annotators judged 57% of the Animal and 84% of the People concepts to be correct, which suggests that our algorithm generates a substantial number of additional concepts that could be used to enrich taxonomic structure in WordNet.