Question Answer Categorization On Qc Science
评估指标
R@10
R@15
R@20
R@5
评测结果
各个模型在此基准测试上的表现结果
模型名称 | R@10 | R@15 | R@20 | R@5 | Paper Title | Repository |
|---|---|---|---|---|---|---|
| TagRec(BERT+USE) | 0.92 | 0.95 | 0.96 | 0.86 | TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy | |
| BERT+GloVe | 0.87 | 0.92 | 0.94 | 0.76 | TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy | |
| Pretrained Sent BERT | 0.40 | 0.47 | 0.52 | 0.30 | TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy | |
| TagRec(BERT+Sent BERT) | 0.93 | 0.95 | 0.97 | 0.85 | TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy | |
| Twin BERT | 0.86 | 0.91 | 0.94 | 0.72 | TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy | |
| BERT+sent2vec | 0.89 | 0.93 | 0.95 | 0.79 | TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy |
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