Before revision:  The experiments on two commonsense QA datasets demonstrate the effectiveness of our method , which improves over strong baselines significantly and also provides human interpretableexplanations for the predictions .
After revision:  The experiments on two commonsense QA datasets demonstrate the effectiveness of our method over previous works which fully rely on knowledge from KGs (with up to 6\% improvement in accuracy), across various amounts of training data. Further evaluation suggests that the generated paths are typically interpretable, novel, and relevant to the task .