Bi-LSTM-CRF + Lexical Features
Reported on 2 benchmarks across 1 task · 1 paper · 1 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- F1· uses extra data· 2018-06-09SOTA87.95best: 92.07 (BERT-MRC+DSC)
- F1· 2018-06-0991.73best: 94.6 (ACE + document-context)