Research Article
Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining
Table 3
Comparison results of different dimensions.
| Different dimensions | Marco-P (%) | Marco-R (%) | Marco-F1 (%) |
| Random embedding | 69.52 | 69.70 | 69.38 | 50 embeddings | 53.42 | 54.31 | 53.74 | 150 embeddings | 72.48 | 72.54 | 72.51 | 300 embeddings | 55.36 | 61.03 | 57.88 |
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