WordNet-based similarity: One of the models that we used is based on Resnik's similarity measure (1993), referring to it as res. The other model is an in-house method (<cite>Zapirain et al., 2009</cite> ), referred as <cite>wn</cite>, which only takes into account the depth of the most common ancestor, and returns SPs that are as specific as possible. Distributional similarity: Following (<cite>Zapirain et al., 2009</cite>) we considered both first order and second order similarity.