SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Table 2: Performance of various models on the entire Daily Mail test set using the limited length recall variants of Rouge at 275 bytes. SummaRuNNer is statistically indistinguishable from the model of Cheng et al, ‘16 at 95% C.I. on Rouge-1 and Rouge-2.
['[EMPTY]', 'Rouge-1', 'Rouge-2', 'Rouge-L']
This shows that the SummaRuNNer is better at picking the best sentence for summarization than the subsequent ones.