Dependency-based vector spaces steer the induced WEs towards functional similarity (e.g., tiger:cat) rather than topical similarity/relatedness (e.g., tiger:jungle), They support a variety of similarity tasks in monolingual settings, typically outperforming BOW contexts for English (Bansal et al., 2014;Hill et al., 2015;Melamud et al., 2016).
despite the steadily growing landscape of CL WE models, each requiring a different form of cross-lingual supervision to induce a SCLVS, syntactic information is still typically discarded in the SCLVS learning process.