A Deep Reinforced Model for Abstractive Summarization
Table 4: Comparison of ROUGE recall scores for lead baselines, the extractive model of Durrett et al. (2016) and our model on their NYT dataset splits.
['[BOLD] Model', '[BOLD] R-1', '[BOLD] R-2']
We also compare our model against extractive baselines (either lead sentences or lead words) and the extractive summarization model built by Durrett et al. Similarly to Durrett et al. , we report the limited-length ROUGE recall scores instead of full-length F-scores. For each example, we limit the generated summary length or the baseline length to the ground truth summary length. Our results show that our mixed-objective model has higher ROUGE scores than their extractive model and the extractive baselines.