We follow the Unsupervised Boundary Ranking Substitution Selection method described in<cite> Paetzold and Specia (2017)</cite> , which ranks candidates according to how well they fit the context of the target word, and discards 50% of the worst ranking candidates. We obtain similar tendency in the results, with the DSSM Ranking outperforming both baselines.