Length-controllable Abstractive Summarization by Guiding with Summary Prototype
Table 6: ROUGE scores (F1) of proposed models on NEWSROOM dataset. 1[6]
['[EMPTY]', 'R-1', 'R-2', 'R-L']
To consider differences in summary length between news domains, we evaluated our model in the average length and domain-level average length (denoted as domain length) settings. The results indicate that our model had significantly higher ROUGE scores compared with the official baselines and outperformed our baseline (LPAS w/o Prototype). They also indicate that our model is effective on datasets containing text in various styles. Moreover, we found that considering the domain length has positive effects on the ROUGE scores. This indicates that our model can easily reflect differences in summary length among various styles.