End-to-End Abstractive Summarization for Meetings
Table 2: ROUGE-1, ROUGE-2, ROUGE-SU4 scores of generated summary in AMI and ICSI datasets. Numbers in bold are the overall best result. Numbers with underscore are the best result from previous literature. ∗ The two baseline MM models require additional human annotations of topic segmentation and visual signals from cameras. ∗∗ Results are statistically significant at level 0.05.
['Model', 'AMI ROUGE-1', 'AMI R-2', 'AMI R-SU4', 'ICSI ROUGE-1', 'ICSI R-2', 'ICSI R-SU4']
As shown, except for ROUGE-1 in AMI, HMNet outperforms all baseline models in all metrics, and the result is statistically significant at level 0.05, under paired t-test with the best baseline results. On ICSI dataset, HMNet achieves 7.51, 3.06 and 5.44 higher ROUGE points than previous best results.