Intent Detection On Mixsnips
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy |
|---|---|
| gl-gin-fast-and-accurate-non-autoregressive | 95.6 |
| a-dynamic-graph-interactive-framework-with | 97.8 |
| slim-explicit-slot-intent-mapping-with-bert | 97.2 |
| a-two-stage-prediction-aware-contrastive | 96.5 |
| td-gin-token-level-dynamic-graph-interactive | 96.5 |
| co-guiding-net-achieving-mutual-guidances | 97.7 |
| joint-multiple-intent-detection-and-slot-2 | 97.8 |
| a-scope-sensitive-and-result-attentive-model | 98.4 |
| a-two-stage-prediction-aware-contrastive | 96.9 |
| enhancing-joint-multiple-intent-detection-and | 95.5 |
| uni-mis-united-multiple-intent-spoken | 97.2 |
| misca-a-joint-model-for-multiple-intent | 97.3 |
| exploiting-topic-information-for-joint-intent | 96.3 |
| a-two-stage-prediction-aware-contrastive | 97.4 |
| incorporating-instructional-prompts-into-a | 96.9 |
| a-transformer-based-threshold-free-framework-1 | 97.7 |