As by<cite> Riedel et al. (2013)</cite> , we use a Bayesian personalized ranking objective (Rendle et al., 2009 ) to estimate parameters, i.e., for each observed training fact, we sample an unobserved fact for the same relation, and maximize their relative ranking using AdaGrad.