大规模知识图谱预训练模型及电商应用
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陈华钧, 张文, 黄志文, 叶橄强, 文博, 张伟
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Large scale pre-trained knowledge graph model and e-commerce application
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Huajun CHEN, Wen ZHANG, Chi-Man WONG, Ganqiang YE, Bo WEN, Wei ZHANG
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表3 商品分类任务的结果
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| 数据集 | 模型 | Hit@1 | Hit@3 | Hit@10 | AC | | dataset-100 | BERT | 71.03% | 84.91% | 92.47% | 71.52% | | BERTPKGM-T | 71.26% | 85.76% | 93.07% | 72.14% | | BERTPKGM-R | 71.55% | 85.43% | 92.86% | 72.26% | | BERTPKGM-all | 71.64% | 85.90% | 93.17% | 72.19% | | dataset-50 | BERT | 60.98% | 78.99% | 89.21% | 59.06% | | BERTPKGM-T | 61.47% | 79.04% | 90.08% | 62.74% | | BERTPKGM-R | 61.52% | 80.09% | 90.39% | 62.98% | | BERTPKGM-all | 61.54% | 79.89% | 90.36% | 62.71% | | dataset-20 | BERT | 30.26% | 46.97% | 68.12% | 28.90% | | BERTPKGM-T | 30.65% | 47.80% | 67.40% | 29.62% | | BERTPKGM-R | 31.47% | 50.69% | 69.07% | 30.63% | | BERTPKGM-all | 32.09% | 50.19% | 70.07% | 30.91% |
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