Evaluation results: We evaluate the usefulness of DT embeddings against three benchmark datasets for cohyponymy detection (Weeds et al., 2014;<cite> Santus et al., 2016</cite>; Jana and Goyal, 2018b) , following their experimental setup. We show that the network embeddings outperform the baselines by a huge margin throughout all the experiments, except for co-hyponyms vs. random pairs, where the baselines already have very high accuracy and network embeddings are able to match the results.