Since our decoder directly receives the set of sentence vectors regardless of their input order via attention, our encoder is free from the constraint that all sentences must be compressed into a single fixedlength vector as a paragraph representation.
since our TGCM could elaborately capture both local and global dependencies simultaneously, TGCM showed the best sentence ordering performance among all comparative models on all datasets.