Wei et al. (2020)

Reported on 9 benchmarks across 3 tasks

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

Natural Language Processing9 results

Sentiment AnalysisonSemEval-2014 Task-4
Laptop (F1)
82.7
best: 92.3 (InstructABSA)
Sentiment AnalysisonSemEval-2014 Task-4
Restaurant (F1)
87.1
best: 92.76 (InstructABSA)
Sentiment Analysison SemEval 2015 Task 12
Restaurant (F1)
72.7
best: 80.3 (ACE)
Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
Laptop (F1)
82.7
best: 92.3 (InstructABSA)
Aspect-Based Sentiment Analysis (ABSA)onSemEval-2014 Task-4
Restaurant (F1)
87.1
best: 92.76 (InstructABSA)
Aspect-Based Sentiment Analysis (ABSA)on SemEval 2015 Task 12
Restaurant (F1)
72.7
best: 80.3 (ACE)
Aspect ExtractiononSemEval-2014 Task-4
Laptop (F1)
82.7
best: 92.3 (InstructABSA)
Aspect ExtractiononSemEval-2014 Task-4
Restaurant (F1)
87.1
best: 92.76 (InstructABSA)
Aspect Extractionon SemEval 2015 Task 12
Restaurant (F1)
72.7
best: 80.3 (ACE)