融合文本描述和层次类型的知识表示学习方法
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李松,舒世泰,郝晓红,郝忠孝
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Knowledge representation learning method integrating textual description and hierarchical type
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Song LI,Shi-tai SHU,Xiao-hong HAO,Zhong-xiao HAO
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表 2 在WN18和FB15K数据集上不同模型实体预测的评估结果 |
Tab.2 Evaluation results of different model entity predictions on WN18 and FB15K data sets |
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模型 | WN18 | | FB15K | MeanRank | | Hits@10/% | MeanRank | | Hits@10/% | Raw | Filter | Raw | Filter | Raw | Filter | Raw | Filter | TransE | 263 | 251 | | 75.4 | 89.2 | | 243 | 125 | | 34.9 | 47.1 | TransH | 318 | 303 | 75.4 | 86.5 | 210 | 81 | 41.6 | 59.0 | TransR | 238 | 225 | 79.8 | 92.0 | 198 | 77 | 48.2 | 68.7 | TransD | 224 | 212 | 79.6 | 92.2 | 194 | 91 | 53.4 | 77.3 | DistMult | 902 | − | 93.6 | − | 97 | − | 82.4 | − | ConvE | 504 | − | 95.5 | − | 64 | − | 87.3 | − | DKRL | − | − | − | − | 200 | 113 | 44.3 | 57.6 | TKRL | − | − | − | − | 202 | 87 | 50.3 | 73.4 | ETLKRL | 213 | 187 | 94.7 | 95.7 | 52 | 44 | 85.7 | 87.4 |
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