Research Article
BERT_LF: A Similar Case Retrieval Method Based on Legal Facts
Table 3
The result of ablation study.
| Model | P@5 | P@10 | MAP | NDCG@10 | NDCG@20 | NDCG@30 |
| SEM-TP | 0.38 | 0.365 | 0.444 | 0.717 | 0.779 | 0.884 | SEM-EE | 0.24 | 0.279 | 0.338 | 0.549 | 0.638 | 0.804 | SEM-EC (LSTM) | 0.36 | 0.335 | 0.415 | 0.711 | 0.78 | 0.879 | SEM-EC (GRU) | 0.32 | 0.355 | 0.436 | 0.743 | 0.807 | 0.891 | SEM-TE | 0.28 | 0.32 | 0.364 | 0.608 | 0.684 | 0.822 | SEM-T (LSTM) | 0.38 | 0.385 | 0.474 | 0.745 | 0.796 | 0.889 | SEM-T (GRU) | 0.456 | 0.412 | 0.546 | 0.788 | 0.816 | 0.905 | SEM-E (LSTM) | 0.46 | 0.41 | 0.546 | 0.799 | 0.818 | 0.904 | SEM-E (GRU) | 0.478 | 0.41 | 0.56 | 0.802 | 0.822 | 0.908 | BERT-LF (LSTM) | 0.51 | 0.43 | 0.58 | 0.803 | 0.832 | 0.909 | BERT-LF (GRU) | 0.49 | 0.445 | 0.592 | 0.816 | 0.846 | 0.919 |
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