Like in our experiments in Section 6, it uses a distributional thesaurus as input, as well as multiple pre-and post-processing stages to filter the input graph and disambiguate individual nodes.
to Pachenko et al., here we directly apply the WATSET algorithm to obtain the resulting distributional semantic classes instead of using a sophisticated parametric pipeline that performs a sequence of clustering and pruning steps.