Fact Selection On Argscichat
Métriques
Fact-F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 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 |
0 of 4 row(s) selected.