Similar with GRU-MatchPyramid's training process, we create a coherence score set R − with negative examples, and use min-max scaling to normalize the coherence score r 0 + .
we randomly select n negative questions q 1 − , q 2 − , ... q n − from other posts's ground-truth responses, and then calculate their coherence scores with a via Equation 5, i.e.