GRUSeq2Seq
Reported on 3 benchmarks across 3 tasks · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Exact Match Accuracy· 2014-09-01SOTA75.56best: 94.78 (DPCSpell)
- Exact Match Accuracy· 2014-09-01SOTA75.56best: 94.78 (DPCSpell)
Adversarial1 result
- Exact Match Accuracy· 2014-09-01SOTA75.56best: 94.78 (DPCSpell)