Research Article
An Approach Based on Multilevel Convolution for Sentence-Level Element Extraction of Legal Text
Table 7
The comparison results on legal dataset of fully connection layer.
| Model | Divorce | Loan | Labor | HL (-) | Micro-P (+) | Micro-R (+) | Micro-F1 (+) | HL (-) | Micro-P (+) | Micro-R (+) | Micro-F1 (+) | HL (-) | Micro-P (+) | Micro-R (+) | Micro-F1 (+) |
| w/o | 0.02350 | 0.8649 | 0.8635 | 0.8642 | 0.03022 | 0.8358 | 0.8396 | 0.8377 | 0.03008 | 0.8254 | 0.8575 | 0.8412 | IFC | 0.02217 | 0.8702 | 0.8735 | 0.8719 | 0.02841 | 0.8424 | 0.8537 | 0.8481 | 0.01949 | 0.8696 | 0.8548 | 0.8621 | No-order | 0.02126 | 0.8852 | 0.8728 | 0.8790 | 0.02772 | 0.8633 | 0.8573 | 0.8603 | 0.01688 | 0.8812 | 0.8589 | 0.8699 |
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