Research Article
KoRASA: Pipeline Optimization for Open-Source Korean Natural Language Understanding Framework Based on Deep Learning
| Model | Intent classification | Entity extraction | Train | Test | Train | Test | Acc | F1 | Acc | F1 | Acc | F1 | Acc | F1 |
| Regex + LS + CV | 1.000 | 1.000 | 0.980 | 0.980 | 0.988 | 0.089 | 0.949 | 0.882 | Regex | 1.000 | 1.000 | 0.980 | 0.978 | 0.993 | 0.989 | 0.959 | 0.902 | CV | 1.000 | 1.000 | 0.980 | 0.985 | 0.993 | 0.989 | 0.959 | 0.905 |
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