Table 8 Experiment results of the ChatGLM3-6B Language Model
From: Automatic recognition of cross-language classic entities based on large language models
ChatGLM3-6B | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shot | ALL | FAN | JIAN | ||||||||||
Zero | all | PER | OFI | BOOK | all | PER | OFI | BOOK | all | PER | OFI | BOOK | |
F1 | 78.11 | 81.89 | 74.17 | 54.62 | 78.25 | 81.29 | 75.38 | 56.61 | 77.86 | 82.94 | 72.03 | 50.72 | |
R | 77.52 | 81.51 | 73.58 | 58.15 | 77.62 | 80.91 | 74.66 | 53.54 | 77.35 | 82.57 | 71.66 | 47.51 | |
P | 78.71 | 82.27 | 74.77 | 51.50 | 78.90 | 81.67 | 76.11 | 60.04 | 78.38 | 83.32 | 72.41 | 54.39 | |
One | F1 | 78.58 | 82.29 | 74.87 | 53.57 | 78.45 | 81.79 | 75.38 | 53.65 | 78.82 | 83.17 | 73.96 | 53.42 |
R | 77.89 | 81.88 | 74.06 | 50.72 | 77.77 | 81.43 | 74.45 | 51.38 | 78.12 | 82.67 | 73.37 | 49.43 | |
P | 79.28 | 82.71 | 75.69 | 56.77 | 79.14 | 82.15 | 76.33 | 56.13 | 79.54 | 83.69 | 74.56 | 58.11 | |
Three | F1 | 78.70 | 82.18 | 75.28 | 54.32 | 78.77 | 81.58 | 76.46 | 54.94 | 78.56 | 83.25 | 73.20 | 53.09 |
R | 78.00 | 81.75 | 74.47 | 51.50 | 78.09 | 81.18 | 75.58 | 52.56 | 77.84 | 82.74 | 72.52 | 49.43 | |
P | 79.41 | 82.62 | 76.10 | 57.47 | 79.47 | 81.98 | 77.36 | 57.54 | 79.30 | 83.75 | 73.89 | 57.33 | |
Five | F1 | 78.26 | 81.98 | 74.31 | 56.03 | 77.98 | 81.02 | 75.10 | 56.38 | 78.76 | 83.67 | 72.92 | 55.35 |
R | 77.63 | 81.59 | 73.59 | 53.45 | 77.37 | 80.71 | 74.30 | 53.94 | 78.10 | 83.14 | 72.33 | 52.49 | |
P | 78.90 | 82.38 | 75.05 | 58.88 | 78.59 | 81.34 | 75.92 | 59.05 | 79.43 | 84.20 | 73.52 | 58.55 | |
