ON-LSTM
Reported on 4 benchmarks across 1 task · 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
- Max F1 (WSJ10)· 2018-10-22SOTA66.8best: 71.8 (S-DIORA)
- Mean F1 (WSJ10)· 2018-10-22SOTA65.1best: 74.2 (inside-outside co-training + weak supervision)
- Max F1 (WSJ)· 2018-10-2249.4best: 71.9 (Ensemble (Generative MBR))
- Mean F1 (WSJ)· 2018-10-2247.7best: 70.4 (Ensemble (Generative MBR))