In this table, AMPCNN<cite> (Yin et al., 2016)</cite> is an attentive max-pooling CNN for matching a question with all relations. APCNN (dos Santos et al., 2016) and ABCNN<cite> (Yin et al., 2016)</cite> both employ an attentive pooling mechanism. These two models Model Accuracy (%) AMPCNN<cite> (Yin et al., 2016)</cite> 91.3 OWA-ABCNN<cite> (Yin et al., 2016)</cite> 90.2 Proposed Q'-Q + Q'-R model 93.41 are not originally evaluated on relation prediction of simple questions.