Fig. 3

Architecture of our sentence encoder. The question and answer are first encoded by LSTM and no-linear layer as Q and A respectively, then Q and A are encoded by co-attention encoder [30] as C^A. Next, context function maps C^A into a vector h, i.e, the representation of the given pair of question and answer, which are fed into softmax layer for binary classification, i.e., accepted or not