SF-ID
Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing4 results
- F1· 2019-06-30SOTA92.23best: 98.3 (CTRAN)
- Accuracy· 2019-06-30SOTA97.43best: 99.42 (CTRAN)
- F1· 2019-06-300.958best: 0.9846 (CTRAN)
- Accuracy· 2019-06-3097.76best: 98.99 (Bi-model with decoder)