Iterative Document Representation Learning Towards Summarization with Polishing
Table 4: Ablation study on DailyMail test dataset with respect to the abstractive ground truth at 75 bytes.
['Variations', 'Rouge-1', 'Rouge-2', 'Rouge-L']
The first variation is the same model without the selective reading module. The second one sets the iteration number to one, that is, a model without iteration process. The last variation is to apply MLP on the output from the last iteration instead of concatenating the hidden states of all decoders. All other settings and parameters are the same. Performances of these models are worse than that of ITS in all metrics, which demonstrates the preeminence of ITS. More importantly, by this controlled experiment, we can verify the contribution of different module in ITS.