基于深度学习的情报分析方法识别研究 * ——以安全情报领域为例
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肖连杰,孟涛,王伟,吴志祥
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Entity Recognition of Intelligence Method Based on Deep Learning: Taking Area of Security Intelligence for Example
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Lianjie Xiao,Tao Meng,Wei Wang,Zhixiang Wu
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表3 情报分析方法实体识别实验结果(%)
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深度模型 | 评价指标 | 准确率P | 召回率R | F1值 | BiLSTM | 80.81 | 80.61 | 80.71 | 80.17 | 69.28 | 74.33 | 83.83 | 83.12 | 83.47 | 80.89 | 79.75 | 80.31 | 81.94 | 76.89 | 79.34 | 均值 | 81.71 | 77.26 | 79.36 | BiLSTM-CRF | 85.97 | 78.69 | 82.17 | 83.66 | 83.43 | 83.55 | 85.39 | 83.83 | 84.60 | 80.62 | 75.48 | 77.97 | 87.92 | 74.82 | 80.84 | 均值 | 84.71 | 79.25 | 81.83 |
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