MPQA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Opinion Polarity Detection | MPQA | Accuracy93.3 | 154 | |
| Sentiment Classification | Mpqa | Accuracy92.1 | 35 | |
| Text Classification | MPQA | Accuracy90.2 | 25 | |
| Opinion Role Labeling | MPQA Target 2.0 (test) | O-R F1 (hd)62.34 | 16 | |
| Sentence Classification | MPQA (test) | Accuracy90.8 | 15 | |
| Opinion Polarity Classification | MPQA 10-fold (val) | Accuracy93.3 | 13 | |
| Opinion Polarity Detection | MPQA | Spearman's Rho0.8205 | 12 | |
| Text Classification | MPQA Opinion Polarity (test) | Accuracy93.3 | 11 | |
| Opinion Mining | MPQA | Macro F187.4 | 7 | |
| Sentence Classification | MPQA | Accuracy90.3 | 6 | |
| Structured Sentiment Analysis | MPQA v1.0 (test) | Holder Span F158.4 | 5 | |
| Opinion Role Labeling | MPQA Holder 2.0 (test) | Binary F1 Score85.77 | 5 | |
| Natural Language Understanding | MPQA | Accuracy78.1 | 4 | |
| Opinion Polarity Classification | MPQA SentEval (test) | Accuracy90.3 | 4 | |
| Sentence Classification | MPQA (Multi-Perspective Question Answering) (10-fold cross-validation) | Accuracy89 | 4 |
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