(2015) show several experiments suggesting that asymmetric classifiers do not perform better at the task of identifying hypernyms than when the RHS vectors alone are used as features.
they find that the asymmetric classifier and variants frequently learn to identify prototypical hypernyms rather than the hypernymy relation itself.