(1) AutoJudge consistently and significantly outperforms all the baselines, including RC models and other neural text classification models, which shows the effectiveness and robustness of our model. (2) RC models achieve better performance than most text classification models (excluding GRU+Attention), which indicates that reading mechanism is a better way to integrate information from heterogeneous yet complementary inputs. (3) Comparing with conventional RC models, AutoJudge achieves significant improvement with the consideration of additional law articles. 
 Question: what are their results on the constructed dataset?
AutoJudge consistently and significantly outperforms all the baselines RC models achieve better performance than most text classification models (excluding GRU+Attention) Comparing with conventional RC models, AutoJudge achieves significant improvement