Our approach achieves significantly better performance than Yu's method and Word2Vec method in terms of accuracy (t-test, p-value < 0.05) for both BLESS and ENTAILMENT datasets.
our approach improves the average accuracy by 4% compared to Yu's method, and by 9% compared to the Word2Vec method.