基于BoBGSAL⁃Net的文档级实体关系抽取方法
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冯超文, 吴瑞刚, 温绍杰, 刘英莉
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Document⁃level entity relation extraction method based on BoBGSAL⁃NET
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Chaowen Feng, Ruigang Wu, Shaojie Wen, Yingli Liu
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表6 BoBGSAL?Net模型和其他模型在AlSiaRED数据集上的关系抽取实验结果的对比
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Table 6 Experimental results of relation extraction by BoBGSAL?Net and other models on the AlSiaRED dataset
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| 模型 | 验证集 | 测试 |
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| Ign F1 | Ign AUC | F1 | AUC | Ign F1 | F1 |
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| BoBGSAL⁃Net+BERT | 66.14% | 65.59% | 65.40% | 65.32% | 64.73% | 66.04% | | GAT[23] | 46.33% | — | 48.20% | — | 45.54% | 47.39% | | GCNN[8] | 48.46% | — | 50.36% | — | 47.85% | 49.83% | | EOG[24] | 45.57% | — | 46.91% | — | 45.31% | 46.32% | | AGGCN[25] | 49.19% | — | 50.95% | — | 48.89% | 49.63% | | LSR⁃GloVe[22] | 51.35% | — | 53.44% | — | 51.27% | 53.29% | | GAIN⁃GloVe[26] | 57.88% | 56.47% | 59.29% | 57.89% | 57.57% | 59.14% | | HIN⁃BERT⁃base[7] | 53.62% | — | 54.44% | — | 52.56% | 54.72% | | LSR+BERT⁃base[30] | 59.23% | — | 61.47% | — | 59.62% | 60.20% | | CGM2IR⁃RoBERTa[31] | 63.53% | — | 62.74% | — | 63.38% | 63.26% | | BoBGSAL⁃Net | 55.43% | 54.64% | 56.51% | 55.78% | 54.84% | 55.73% | | BoBGSAL⁃Net+GloVe | 60.45% | 56.47% | 59.29% | 57.89% | 57.57% | 59.14% | | BoBGSAL⁃Net+BiLSTM | 61.58% | 59.73% | 62.50% | 60.48% | 59.76% | 61.48% |
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