基于Bi-LSTM+CRF的科学文献中生态治理技术相关命名实体抽取研究*
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马建霞,袁慧,蒋翔
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Extracting Name Entities from Ecological Restoration Literature with Bi-LSTM+CRF
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Ma Jianxia,Yuan Hui,Jiang Xiang
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表9 不同要素组合的实验结果
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Table 9 Experiment Results of Different Combinations of Elements
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序号 | 输入特征 | P(%) | R(%) | F1(%) | Time | Place | Tech | Time | Place | Tech | Time | Place | Tech | ① | Baseline | 62.66 | 21.69 | 32.22 | 61.85 | 61.88 | 66.10 | 30.31 | 35.40 | 8.89 | 40.68 | 45.04 | 15.68 | ② | w2v-1 | 70.23 | 56.19 | 62.43 | 79.79 | 75.12 | 63.84 | 66.01 | 52.18 | 54.96 | 72.25 | 61.58 | 59.07 | ③ | w2v-2 | 70.99 | 56.41 | 62.86 | 79.14 | 72.05 | 67.26 | 62.32 | 53.19 | 56.21 | 69.73 | 61.20 | 61.24 | ④ | w2v-2 + MoreData | 73.10 | 59.94 | 65.87 | 74.16 | 75.82 | 65.04 | 67.06 | 63.10 | 53.78 | 70.43 | 68.88 | 58.04 | ⑤ | w2v-2 +MoreData+ dictionaries | 74.34 | 64.04 | 68.81 | 78.63 | 82.02 | 66.02 | 72.20 | 65.71 | 58.75 | 75.27 | 72.97 | 62.17 |
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