Named Entity Recognition on Chinese OntoNotes 4.0 (test) benchmark leaderboard · SOTA2 Research

Named Entity Recognition on Chinese OntoNotes 4.0 (test)

84.47F1 ScoreBERT-MRC+DSC

Evaluation Results

Method	Links
BERT-MRC+DSC2019.11		84.47	84.22	84.72
BERT-MRC+DL2019.11		84.01	83.97	84.05
BERT-MRC+FL2019.11		83.3	83.63	82.97
Baseline + BS2022.04		82.83	81.65	84.03
Ma et al. (2020)2022.04		82.81	83.41	82.21
Wu et al. (2021)2022.04		82.57	—	—
BERT-MRC2019.11		82.11	82.98	81.25
Li et al. (2020b)2022.04		82.11	82.98	81.25
BERT-MRC2019.10		82.11	82.98	81.25
Baseline2022.04		82.03	82.79	81.27
Li et al. (2020a)2022.04		81.82	—	—
Glyce-BERT2019.10		81.63	81.87	81.4
Glyce-BERT2019.11		80.62	81.87	81.4
Chen and Kong (2021)2022.04		79.95	79.25	80.66
BERT-Tagger2019.11		79.16	78.01	80.35
BERT-Tagger2019.10		79.16	78.01	80.35
Lattice-LSTM2019.11		73.88	76.35	71.56
Zhang and Yang (2018)2022.04		73.88	76.35	71.56
Lattice-LSTM2019.10		73.88	76.35	71.56