BiLSTM-Attention + ELMo
Reported on 5 benchmarks across 3 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 Processing2 results
- Macro-F1· uses extra data· 2018-02-15SOTA54.6best: 81.75 (SS-cGAN + SciBERT)
- 82.6best: 84.9 (SciBERT)
Methodology2 results
- Macro-F1· uses extra data· 2018-02-15SOTA54.6best: 81.75 (SS-cGAN + SciBERT)
- 82.6best: 84.9 (SciBERT)
Other1 result
- 82.6best: 84.9 (SciBERT)