ML + Intra-Attention (Paulus et al., 2017)
Reported on 6 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Knowledge Base3 results
- ROUGE-1· 2017-05-1138.3best: 48.18 (Scrambled code + broken (alter))
- ROUGE-2· 2017-05-1114.81best: 24.02 (Pegasus)
- ROUGE-L· 2017-05-1135.49best: 45.35 (Scrambled code + broken (alter))
Natural Language Processing3 results
- ROUGE-1· 2017-05-1138.3best: 48.18 (Scrambled code + broken (alter))
- ROUGE-2· 2017-05-1114.81best: 22.55 (PEGASUS + SummaReranker)
- ROUGE-L· 2017-05-1135.49best: 45.35 (Scrambled code + broken (alter))