Moreover, they did not carry out any task-based evaluation, which makes it uncertain whether their method will be helpful in real applications.
we instead use topic models, especially Latent Dirichlet Allocation (LDA), to encode distributional semantics of words and convert every triple into a real-valued vector, which is then used to evaluate the relatedness between a pair of triples.