DPCNN
Reported on 8 benchmarks across 3 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing6 results
- Accuracy96.68best: 97.37 (BERT large)
- 30.58best: 27.05 (XLNet)
- 2.64best: 1.37 (XLNet)
- Accuracy65.19best: 65.83 (BERT large)
- Error0.88best: 0.62 (XLNet)
- Error6.87best: 4.45 (XLNet)
Methodology2 results
- Error0.88best: 0.62 (XLNet)
- Error6.87best: 4.45 (XLNet)