Multi Document Summarization On Multi News
المقاييس
ROUGE-1
ROUGE-2
ROUGE-L
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
| Paper Title | ||||
|---|---|---|---|---|
| PRIMER | 49.9 | 21.1 | 25.9 | PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization |
| LongT5 | 48.17 | 19.43 | - | LongT5: Efficient Text-To-Text Transformer for Long Sequences |
| CTF+DPP | 45.84 | 15.94 | - | Multi-Document Summarization withDeterminantal Point Process Attention |
| CopyTransformer | 43.57 | 14.03 | - | Bottom-Up Abstractive Summarization |
| Hi-MAP | 43.47 | 14.89 | - | Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model |
| PG-BRNN | 42.80 | 14.19 | - | Bottom-Up Abstractive Summarization |
0 of 6 row(s) selected.