Research Article
Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes
Table 4
Entity recognition and relation extraction with pipeline approaches.
| | Model | Label embedding | F1-score | Precision | Recall |
| | Relation extraction pipeline | Without | 0.6794 | 0.8374 | 0.5716 | | Multihead joint learning | Without | 0.7079 | 0.8228 | 0.6212 | | BERT+relation extraction pipeline | Without | 0.7222 | 0.7596 | 0.6884 | | BERT+relation extraction pipeline | With | 0.7851 | 0.8496 | 0.7297 | | BERT+multihead joint learning | Without | 0.8016 | 0.8218 | 0.7823 | | BERT+multihead joint learning | With | 0.8216 | 0.8250 | 0.8183 |
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