As the semantic method outperformed the lexical overlap in the evaluations of previous Section, we decided to acquire a clustering on the entire WordNet sense inventory using this approach.
we obtained a reduction of 33.54% in the number of entries (from 60,302 to 40,079 senses) and a decrease of the polysemy degree from 3.14 to 2.09.