We evaluate P@N of the KG-Net without rules p(S e ) and compare the rule-projected p (S e ) on two kind of sentence amounts setup in  From Table 1, we can observe that the KG-Net gets lower precisions (average reduces 0.9%) on the whole test data comparing with the filtered data.
the KG-Net with rules gets higher precisions on the whole test data because it can deal with noisy instances effectively in sentence-level and hence be more robust on long tail situation.