Sarcasm Detection On Figlang 2020 Twitter
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| BERT | 0.731 | Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection | - |
| RoBERTa_large (Context-Response) | 0.772 | Sarcasm Detection using Context Separators in Online Discourse | - |
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