Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
Table 6: ROUGE scores for models trained and tested on the Multi-News dataset.
['[BOLD] Method', '[BOLD] R-1', '[BOLD] R-2', '[BOLD] R-SU']
Our model outperforms PG-MMR when trained and tested on the Multi-News dataset. The Transformer performs best in terms of R-1 while Hi-MAP outperforms it on R-2 and R-SU. Also, we notice a drop in performance between PG-original, and PG-MMR (which takes the pre-trained PG-original and applies MMR on top of the model).