Research Article
A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification
Table 3
The performance of different methods on two English datasets.
| Models\datasets | SNIPS | StackOverFlow | | R | F1 | Acc | | R | F1 | Acc |
| BERT | 0.970 | 0.972 | 0.970 | 0.970 | 0.878 | 0.872 | 0.872 | 0.872 | BERT + CNN | 0.970 | 0.971 | 0.970 | 0.970 | 0.874 | 0.873 | 0.873 | 0.873 | BERT-Cap | 0.977 | 0.978 | 0.977 | 0.977 | 0.882 | 0.880 | 0.880 | 0.880 | BERT-Cap + focal loss | 0.978 | 0.980 | 0.979 | 0.979 | 0.883 | 0.878 | 0.879 | 0.878 |
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