Additionally, neural vectors have also proven successful in other tasks (Mikolov et al., 2013c), since they seem to encode not only attributional similarity (the degree to which similar words are close to each other), but also relational similarity (Turney, 2006).
co-occurrence-based word representations One way to produce such vectorial representations is to directly exploit Harris (1954)'s intuition that semantically similar words tend to appear in similar contexts.