Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Table 2: Evaluation of our models using the limited-length Rouge Recall at 75 bytes on DUC validation and test sets. Our best model, although trained exclusively on the Gigaword corpus, consistently outperforms the ABS+ model which is tuned on the DUC-2003 validation corpus in addition to being trained on the Gigaword corpus.
['Model', 'Rouge-1', 'Rouge-2', 'Rouge-L']
We note our best model words-lvt5k-1sent outperforms RAS-Elman on two of the three variants of Rouge, while being competitive on Rouge-1.