Research Article
An Approach Based on Multilevel Convolution for Sentence-Level Element Extraction of Legal Text
Table 5
The results on Labor dataset test dataset.
| Models | HL (-) | Micro-P (+) | Micro-R (+) | Micro-F1 (+) |
| CNN | 0.02499071 | 0.8469 | 0.8275 | 0.8371 | CNN-RNN | 0.02551891 | 0.8497 | 0.8365 | 0.8430 | SGM | 0.01820437 | 0.8740 | 0.8451 | 0.8593 | SU4MLC | 0.01758433 | 0.8796 | 0.8487 | 0.8639 | ML-Reasoner | 0.01715832 | 0.8759 | 0.8633 | 0.8695 | Our model | 0.01688988 | 0.8812 | 0.8589 | 0.8699 |
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