Several studies attempted to acquire SP automatically from raw corpora (Resnik, 1997;Rooth et al., 1999;Erk et al., 2010;Santus et al., 2017).
assuming that there are 20 relations among words, the size of all embedding models with the increasing word numbers in Figure 4. word2Vec and GloVe have the smallest size because they only train one embedding for each word while sacrificing the relation-dependent information among them.