But when directly encoding the full dialogue history along the temporal order, the model actually only focuses on the ending utterances, and earlier information is largely discarded (Li et al., 2017).
we propose a sampling-based selfsupervised network (SSN ) to account for the forgetfulness problem and solve the inconsistent order detection task.