Aspect Oriented Opinion Extraction On Semeval
Metrics
Laptop 2014 (F1)
Restaurant 2014 (F1)
Restaurant 2015 (F1)
Restaurant 2016 (F1)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Laptop 2014 (F1) | Restaurant 2014 (F1) | Restaurant 2015 (F1) | Restaurant 2016 (F1) |
|---|---|---|---|---|
| a-joint-training-dual-mrc-framework-for | 79.90 | 83.73 | 74.50 | 83.33 |
| a-unified-generative-framework-for-aspect | 80.55 | 85.38 | 80.52 | 87.92 |
| latent-opinions-transfer-network-for-target | 72.02 | 82.21 | 73.29 | 83.62 |
| target-oriented-opinion-words-extraction-with | 71.35 | 80.02 | 73.25 | 81.69 |
| introducing-syntactic-structures-into-target | 75.77 | 82.33 | 78.81 | 86.01 |