Sarcasm Detection On Figlang 2020 Reddit
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| BERT+Aspect-based approaches | 0.737 | Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection | - |
| RoBERTa_large - (Separated Context-Response) | 0.716 | Sarcasm Detection using Context Separators in Online Discourse | - |
0 of 2 row(s) selected.