Table 4 Results on GENIA.
From: A diffusion enhanced CRF and BiLSTM framework for accurate entity recognition
Model | GENIA | ||
|---|---|---|---|
Pr.(%) | Rec.(%) | F1(%) | |
Wang et al.(2020) | 79.45 | 78.94 | 79.19 |
Luo et al.(2020) | 77.40 | 74.60 | 76.00 |
Shibuya and Hovy(2020) | 79.92 | 76.55 | 78.20 |
Wang et al.(2021) | 79.20 | 78.16 | 78.67 |
Xu et al.(2021) | 80.30 | 78.90 | 79.60 |
Yan et al.(2021b) | 78.81 | 79.11 | 78.95 |
Fer et al.(2021) | 78.20 | 78.23 | 78.22 |
Yang et al.(2022) | 78.02 | 77.77 | 77.88 |
BERT-MRC | 79.47 | 79.70 | 79.89 |
He et al.(2022) | 81.08 | 76.33 | 78.64 |
Tan et al.(2022) | 82.31 | 78.66 | 80.44 |
Zhang et al.(2022) | 81.04 | 77.21 | 79.08 |
Shen et al.(2023) | 81.72 | 79.73 | 80.81 |
Ours | 82.56 | 79.76 | 81.04 |
