A Reinforced Topic-Aware Convolutional Sequence-to-SequenceModel for Abstractive Text Summarization
Table 5: Accuracy on the DUC-2004 dataset in terms of the recall-only RG-1, RG-2, and RG-L. Best performance on each score is displayed in boldface.
['[EMPTY]', '[BOLD] RG-1 (R)', '[BOLD] RG-2 (R)', '[BOLD] RG-L (R)']
Since the DUC-2004 dataset is an evaluation-only dataset, we train the models on the Gigaword corpus first and then evaluate their performance on the DUC dataset. Due to the similarity of the two datasets, we do not provide qualitative summarization examples in this experiment.