Iterative Document Representation Learning Towards Summarization with Polishing
Table 3: Comparison with other baselines on DUC2002 dataset using Rouge recall score with respect to the abstractive ground truth at 75 bytes.
['DUC2002', 'Rouge-1', 'Rouge-2', 'Rouge-L']
Our model outperforms or matches other basic models including LReg and ILR as well as neural network baselines such as SummaRuNNer with respect to the ground truth at 75 bytes, which shows that our model can be adapted to different copora maintaining high accuracy.