Overall, the results show that ContrastMedium leads to competitive performance on a hard, realistic benchmark such as TExEval, achieving the best overall results for both taxonomies.
our algorithm is able to improve the state-of-theart on taxonomy induction by additionally boosting the quality of existing top-performing systems for this task: this is achieved on the basis of a minimally supervised approach that only requires a few links to a reference KB, which is used to provide ground-truth taxonomic relations and guide the cleaning process.