Emotion Classification on TweetEmo (test)
79AccuracyExtra Annotation
Evaluation Results
| Method | Links | |
|---|---|---|
| Extra AnnotationEvaluation Protocol=ICL, Number of shots (K)=Increased2023.07 | 79 | |
| CoTAMEvaluation Protocol=ICL, Number of shots (K)=32023.07 | 77.1 | |
| FlipDA++Evaluation Protocol=ICL, Number of shots (K)=32023.07 | 76.7 | |
| COTDAEvaluation Protocol=ICL, Number of shots (K)=32023.07 | 76.5 | |
| LLM Pseudo LabelEvaluation Protocol=ICL, Number of shots (K)=32023.07 | 75.8 | |
| BaseEvaluation Protocol=ICL, Number of shots (K)=32023.07 | 74.5 | |
| CoTAMEvaluation Protocol=Fine-tuning, Number of shots (K)=10, Backbone=RoBERTa-Large2023.07 | 72.76 | |
| FlipDA++Evaluation Protocol=Fine-tuning, Number of shots (K)=10, Backbone=RoBERTa-Large2023.07 | 70.87 | |
| No ExampleEvaluation Protocol=ICL, Number of shots (K)=02023.07 | 69.8 | |
| Extra AnnotationEvaluation Protocol=Fine-tuning, Number of shots (K)=Increased, Backbone=RoBERTa-Large2023.07 | 69.51 | |
| LLM Pseudo LabelEvaluation Protocol=Fine-tuning, Number of shots (K)=10, Backbone=RoBERTa-Large2023.07 | 69.11 | |
| COTDAEvaluation Protocol=Fine-tuning, Number of shots (K)=10, Backbone=RoBERTa-Large2023.07 | 67.76 | |
| BaseEvaluation Protocol=Fine-tuning, Number of shots (K)=10, Backbone=RoBERTa-Large2023.07 | 44.38 |