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

Named Entity Recognition on Chinese MSRA (test)

96.72F1 ScoreBERT-MRC+DSC

Evaluation Results

Method	Links
BERT-MRC+DSC2019.11		96.72	96.67	96.77
BERT-MRC+DL2019.11		96.44	96.2	96.68
Baseline + BS2022.04		96.26	96.37	96.15
Wu et al. (2021)2022.04		96.24	—	—
Li et al. (2020a)2022.04		96.09	—	—
Baseline2022.04		95.8	95.82	95.78
BERT-MRC2019.11		95.75	96.18	95.12
Li et al. (2020b)2022.04		95.75	96.18	95.12
BERT-MRC2019.10		95.75	96.18	95.12
BERT-MRC+FL2019.11		95.67	95.45	95.89
Glyce-BERT2019.11		95.54	95.57	95.51
Glyce-BERT2019.10		95.54	95.57	95.51
Ma et al. (2020)2022.04		95.42	95.75	95.1
BERT-Tagger2019.11		94.8	94.97	94.62
BERT-Tagger2019.10		94.8	94.97	94.62
Lattice-LSTM2019.11		93.18	93.57	92.79
Zhang and Yang (2018)2022.04		93.18	93.57	92.79
Lattice-LSTM2019.10		93.18	93.57	92.79