Aspect Extraction on Restaurant (test)
84.97F1 ScoreWDEmb+B+CRF
Evaluation Results
| Method | Links | |
|---|---|---|
| WDEmb+B+CRF2016.03 | 84.97 | |
| RNCRFHand-crafted features=Yes2016.03 | 84.93 | |
| RNCRF-OOpinion labels in training=No, Hand-crafted features=Yes2016.03 | 84.25 | |
| RNCRFHand-crafted features=No2016.03 | 84.05 | |
| SemEval-12016.03 | 84.01 | |
| SemEval-22016.03 | 83.98 | |
| LSTMHand-crafted features=Yes2016.03 | 82.99 | |
| RNCRF-OOpinion labels in training=No, Hand-crafted features=No2016.03 | 82.73 | |
| LSTMHand-crafted features=No2016.03 | 81.15 | |
| CRF-2Dependency information=Explicit2016.03 | 78.37 | |
| CRF-1Dependency information=None2016.03 | 77 | |
| DE-CNNEmbedding=Double2018.05 | 74.37 | |
| DE-OOD-CNNEmbedding=Double (Out-of-domain)2018.05 | 74.2 | |
| DE-CNN-CRFEmbedding=Double, Layer=CRF2018.05 | 74.1 | |
| MIN2018.05 | 73.44 | |
| DE-LSTMEmbedding=Double, Architecture=LSTM2018.05 | 72.94 | |
| BILSTM-CNN-CRFEmbeddings=Dependency-based2018.05 | 72.5 | |
| NLANGP2018.05 | 72.34 | |
| DE-Google-CNNEmbedding=Double (Google)2018.05 | 72.1 | |
| GloVe-CNNEmbedding=General (GloVe)2018.05 | 72.08 | |
| Domain-CNNEmbedding=Domain-specific2018.05 | 71.75 | |
| LSTM2018.05 | 71.26 | |
| MaxPool-DE-CNNEmbedding=Double, Pooling=Max pooling2018.05 | 71.12 | |
| CRF2018.05 | 69.56 |