Before revision:  Experimental results demonstrate that our framework brings performance gains for most underlying classification models, and outperforms the state-of-the-art results given little training data(e.g., on TinyRel-CM dataset and FewRel-dataset Han et al., 2018 with reduced training set), and achieves competitive results with sufficiently large training data (e.g., on FewRel dataset with full training data) .
After revision:  Experimental results demonstrate that our framework brings performance gains for most underlying classification models, outperforms the state-of-the-art results given little training data(e.g., on TinyRel-CM dataset and FewRel-dataset Han et al., 2018 with reduced training set), and achieves competitive results with sufficiently large training data (e.g., on FewRel dataset with full training data) .