基于特征融合的术语型引用对象自动识别方法研究*
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马娜,张智雄,吴朋民
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Automatic Identification of Term Citation Object with Feature Fusion
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Na Ma,Zhixiong Zhang,Pengmin Wu
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表2 各种特征组合在测试集上的测试结果
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Table 2 Results with Different Features on Test Dataset
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模型-特征 | Precision | Recall | F1 | BiLSTM-CNN-CRF(Baseline) | 25.57% | 8.17% | 12.38% | BiLSTM-CNN-CRF(POS) | 30.43% | 15.26% | 20.33% | BiLSTM-CNN-CRF(POS+REF) | 60.42% | 49.15% | 54.21% | BiLSTM-CNN-CRF(POS+DIS) | 61.18% | 51.07% | 55.67% | BiLSTM-CNN-CRF(REF+DIS) | 61.71% | 56.02% | 58.73% | BiLSTM-CNN-CRF(POS+REF+DIS) | 62.96% | 57.63% | 60.18% | BERT | 52.13% | 51.55% | 51.94% |
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