Fact Selection On Argscichat
Metrics
Fact-F1
Results
Performance results of various models on this benchmark
Model Name | Fact-F1 | Paper Title | Repository |
|---|---|---|---|
| TF-IDF | 16.22 | ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers | - |
| S-BERT | 13.65 | ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers | - |
| LED(Q,P) | 10.58 | ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers | - |
| LED(Q,P,H) | 8.50 | ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers | - |
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