FS-ABSA

Reported on 7 benchmarks across 2 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing7 results

Sentiment AnalysisonSemEval 2014 Task 4 Subtask 1+2
F1· uses extra data
71.16
best: 83.76 (gpt-3.5 finetuned)
Sentiment AnalysisonSemEval 2014 Task 4 Laptop
F1· uses extra data
71.16
best: 79.34 (InstructABSA)
Sentiment AnalysisonSemEval
Avg F1· uses extra data
76.73
Sentiment AnalysisonSemEval
Laptop 2014 (F1)· uses extra data
71.16
Sentiment AnalysisonSemEval
Restaurant 2014 (F1)· uses extra data
82.29
Aspect-Based Sentiment Analysis (ABSA)onSemEval 2014 Task 4 Subtask 1+2
F1· uses extra data
71.16
best: 83.76 (gpt-3.5 finetuned)
Aspect-Based Sentiment Analysis (ABSA)onSemEval 2014 Task 4 Laptop
F1· uses extra data
71.16
best: 79.34 (InstructABSA)