基于多头注意力和词共现关系的方面级情感分析
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蔡国永, 兰天
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Multi⁃head attention and word co⁃occurrence relation for aspect⁃based sentiment analysis
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Guoyong Cai, Tian Lan
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表2 对比实验结果
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Table 2 Results of comparison experiments
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| 模型 | Twitter | Lap14 | Rest14 | Rest15 | Rest16 |
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| ACC | F1 | ACC | F1 | ACC | F1 | ACC | F1 | ACC | F1 |
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| TD⁃MHSA | 74.13% | 72.32% | 77.90% | 74.64% | 80.27% | 72.57% | 80.76% | 67.25% | 88.31% | 70.66% | | SVM[18] | 63.40% | 63.30% | 70.49% | - | 80.16% | - | - | - | - | - | | MemNet[10] | 71.48% | 69.90% | 70.46% | 65.17% | 79.61% | 69.64% | 77.31% | 58.28% | 85.44% | 65.99% | | TD⁃LSTM[2] | 70.80% | 69.00% | 71.64% | 66.49% | 79.29% | 70.25% | - | - | - | - | | ATAE⁃LSTM[1] | 68.79% | 66.37% | 69.28% | 62.68% | 77.50% | 66.03% | - | - | - | - | | RAM[3] | 69.36% | 67.30% | 74.49% | 71.35% | 80.23% | 70.80% | 79.30% | 60.49% | 85.58% | 65.76% | | AEN[11] | 72.83% | 69.81% | 73.51% | 69.04% | 80.98% | 72.14% | - | - | - | - | | MNHMA[21] | 71.68% | 69.90% | 75.08% | 70.91% | 81.25% | 72.32% | - | - | - | - | | ASGCN[4] | 72.15% | 70.40% | 75.55% | 71.05% | 80.77% | 72.02% | 79.89% | 61.89% | 88.99% | 67.48% | | KumaGCN[22] | 72.45% | 70.77% | 76.12% | 72.24% | - | - | 80.69% | 65.99% | 89.39% | 73.19% |
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