End-to-End Neural Sentence Ordering Using Pointer Network
Table 3: Performances of different models on test sets of datasets. Since there is no noisy sentence here, we constrain the number of output sentences as the same as input, and three scores of PM and LSR are the same in this table.
['Models', 'arXiv PM', 'arXiv LSR', 'arXiv PMR', 'SIND PM', 'SIND LSR', 'SIND PMR']
In this section, 0 noise version do not constrain the length of predicted sequence to be the same with input. In addition, the P,R,F values of PM and LSR of 0 noise and 1 noise version are not the same actually, and very little difference exists (4 numbers after decimal point). It is because that our model is very good at eliminating the noise terms on 0 noise and 1 noise cases.