The pretrained embedding approach utilizes unsupervised method to train entity embedings.
we employ the TransE (Bordes et al., 2013), which trains the embedings of entities and relations by enforcing E(s) + E(r) = E(o) for every observed triple (s, r, o) ∈ K. As there exists other improved variants (Gu et al., 2015), TransE scales the best when KB size grows.