Distraction-Based Neural Networks for Document SummarizationPublished in IJCAI-2016: the 25th International Joint Conference on Artificial Intelligence.
Table 4: Results on the LCSTS dataset.
['System', 'Rouge-1', 'Rouge-2', 'Rouge-L']
The results at the lower half of the table show that the bi-GRU encoder achieves a better performance than the uni-GRU encoder. We show that two-level output model we discussed in the method section is beneficial, which is also consistent with the results on the LCSTS dataset. In addition, the unknown replacement technique yields an additional improvement.