Emotion Classification On Semeval 2018 Task
Metrics
Macro-F1
Results
Performance results of various models on this benchmark
Model Name | Macro-F1 | Paper Title | Repository |
|---|---|---|---|
| Transformer (finetune) | 0.561 | Practical Text Classification With Large Pre-Trained Language Models | |
| BERT+DK | 0.549 | Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge | - |
| BERT-GCN | 0.563 | EmoGraph: Capturing Emotion Correlations using Graph Networks | - |
| SpanEmo | 0.578 | SpanEmo: Casting Multi-label Emotion Classification as Span-prediction |
0 of 4 row(s) selected.