We can thus explore the empirical question of whether all these related phenomena can be tackled together, with a single model accounting for all of them.
most asymmetric measures proposed in the literature build upon the distributional inclusion hypothesis, stating that "if u is a semantically narrower term than v, then a significant number of salient distributional features of u is included in the feature vector of v as well" (Lenci and Benotto, 2012).