Seq2Path
Reported on 8 benchmarks across 2 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing8 results
- F1 (L14)64.82best: 65.3 (MvP (multi-task))
- F1 (R15)65.88best: 72.1 (ASTE-Transformer)
- F1 (R16)72.87best: 76.19 (ASTE-Transformer)
- F1(R14)75.52best: 76.3 (MvP (multi-task))
- 64.82best: 65.3 (MvP (multi-task))
- 65.88best: 72.1 (ASTE-Transformer)
- 72.87best: 76.19 (ASTE-Transformer)
- 75.52best: 76.3 (MvP (multi-task))