Research Article
A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification
Table 4
The performance of different methods on two Chinese datasets.
| Models\datasets | ECDT | FDQuestion | | R | F1 | Acc | | R | F1 | Acc |
| BERT | 0.962 | 0.952 | 0.956 | 0.955 | 0.791 | 0.819 | 0.801 | 0.843 | BERT + CNN | 0.968 | 0.956 | 0.96 | 0.960 | 0.798 | 0.824 | 0.808 | 0.849 | BERT-Cap | 0.969 | 0.960 | 0.963 | 0.963 | 0.808 | 0.831 | 0.814 | 0.856 | BERT-Cap + focal loss | 0.972 | 0.972 | 0.971 | 0.967 | 0.778 | 0.847 | 0.803 | 0.845 |
|
|