Furthermore, through further analyses of the learned parameters, we show that the mLSTM architecture can indeed pick up the more important word-level matching results that need to be remembered for the final prediction.
we observe that good wordlevel matching results are generally "forgotten" but important mismatches, which often indicate a contradiction or a neutral relationship, tend to be "remembered."