LAP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Aspect-based Sentiment Classification | Lap14 | Accuracy86.31 | 37 | |
| Aspect Sentiment Triplet Extraction | Lap SemEval 2014 (test) | F1 Score61.13 | 34 | |
| Aspect Sentiment Triplet Extraction | 14LAP (test) | F1 Score64.9 | 25 | |
| Aspect Extraction and Sentiment Classification (AESC) | 14lap (test) | F1 Score78.34 | 22 | |
| Aspect Sentiment Triplet Extraction | 14Lap D1 (test) | F1 Score64.07 | 19 | |
| Sentiment Triplet Extraction | lap 14 | F1 Score65.23 | 17 | |
| Aspect extraction and sentiment classification | 14lap | F1 Score67.27 | 17 | |
| Aspect-based Sentiment Analysis | LAP 2014 (test) | ABSA-F171.47 | 15 | |
| opinion term extraction | Lap 14 | F1-score82.59 | 14 | |
| Aspect-Opinion Pair Extraction (Pair) | 14lap (test) | F1 Score79.9 | 13 | |
| Opinion Pair Extraction | 14lap 2014 (test) | F1 Score65.67 | 13 | |
| Aspect Sentiment Triplet Extraction | lap14 | Precision45.95 | 12 | |
| Age Estimation | LAP 2016 (test) | E-Score0.2411 | 11 | |
| Apparent Age Estimation | 15LAP (test) | E-Error0.2548 | 10 | |
| Aspect-based Sentiment Analysis | Lap SemEval-2014 (test) | Accuracy82.13 | 7 | |
| Aspect-Opinion Pair Extraction | Lap D1 2014 (test) | F1 Score (%)73.23 | 6 | |
| Opinion Extraction | Lap D1 2014 (test) | F1 Score83.41 | 6 | |
| Aspect extraction | 14lap | F1 Score82.51 | 6 | |
| Sentiment Classification | 14lap | F1 Score75.97 | 4 | |
| Opinion Extraction | 14lap | F1 Score81 | 2 |
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