Research Article
Short Text Paraphrase Identification Model Based on RDN-MESIM
Table 2
Different models results on PI task using tax intelligence consulting question pairs’ data.
| Model | Precision | Recall | Fmeasure | Accuracy (%) |
| DSSM [12] | 0.8412 | 0.8187 | 0.8297 | 83.64 | CDSSM [13] | 0.9380 | 0.8814 | 0.9088 | 92.20 | MVLSTM [16] | 0.9940 | 0.9112 | 0.9508 | 95.94 | ARCII [17] | 0.9710 | 0.9463 | 0.9584 | 96.47 | ABCNN [18] | 0.9559 | 0.9344 | 0.9450 | 94.46 | DIIN [22] | 0.9763 | 0.9511 | 0.9635 | 96.10 | DRCN [23] | 0.9401 | 0.9079 | 0.9237 | 93.40 | RDN-MESIM | 0.9889 | 0.9612 | 0.9748 | 97.63 |
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