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5 BoBGSAL?Net模型和其他模型在DocRED数据集上的关系抽取实验结果的对比
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Table 5 Experimental results of relation extraction by BoBGSAL?Net and other models on the DocRED 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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| GAT[23] | 45.17% | — | 51.44% | — | 47.36% | 49.15% | | GCNN[8] | 46.22% | — | 51.52% | — | 49.59% | 51.62% | | EOG[24] | 45.94% | — | 52.15% | — | 49.48% | 51.82% | | AGGCN[25] | 46.29% | — | 52.47% | — | 48.89% | 51.45% | | LSR⁃GloVe[22] | 48.82% | — | 55.17% | — | 52.15% | 54.18% | | GAIN⁃GloVe[26] | 53.05% | 52.57% | 55.29% | 55.44% | 52.66% | 55.08% | | HIN⁃BERT⁃base[7] | 54.29% | — | 55.43% | — | 53.70% | 55.60% | | LSR+BERT⁃base[30] | 58.93% | — | 60.89% | — | 57.71% | 59.94% | | CGM2IR⁃RoBERTa[31] | 62.03% | — | 63.95% | — | 61.96% | 62.89% | | BoBGSAL⁃Net | 54.32% | 53.47% | 55.20% | 54.43% | 53.62% | 54.57% | | BoBGSAL⁃Net+GloVe | 56.15% | 54.39% | 57.33% | 57.63% | 54.35% | 56.97% | | BoBGSAL⁃Net+BiLSTM | 60.62% | 58.27% | 61.45% | 59.72% | 58.47% | 60.54% | | BoBGSAL⁃Net+BERT | 65.20% | 64.47% | 64.38% | 64.58% | 62.43% | 65.32% |
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