Research Article
Natural Language Processing Algorithms for Normalizing Expressions of Synonymous Symptoms in Traditional Chinese Medicine
Table 6
The top 5 and 10 recall on the test set.
| Model | HFDS | TDS | Top 5 recall | Top 10 recall | Top 5 recall | Top 10 recall |
| Encoder (Char)-Classification | 0.9692 ± 0.0028 | 0.9818 ± 0.0013 | 0.8906 ± 0.0045 | 0.9164 ± 0.0037 | Encoder (Word)-Classification | 0.9635 ± 0.0025 | 0.9785 ± 0.0015 | 0.8928 ± 0.0046 | 0.9195 ± 0.0038 | BERT-Classification | 0.9758 ± 0.0012 | 0.9858 ± 0.0011 | 0.9212 ± 0.0019 | 0.9426 ± 0.0015 |
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Note. The results are expressed as mean ± SD. , compared with BERT-Classification. |