Aspect-based Sentiment Analysis on Restaurant dataset
83.57AccuracySDGCN-BERT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SDGCN-BERTWord Embedding=BERT2019.06 | 83.57 | 76.47 | |
| AEN-BERTWord Embedding=BERT2019.06 | 83.12 | 73.76 | |
| SDGCN-GWord Embedding=GloVe2019.06 | 82.95 | 75.79 | |
| SDGCN-AWord Embedding=GloVe2019.06 | 82.14 | 73.47 | |
| SDGCN-A w/o pWord Embedding=GloVe2019.06 | 81.61 | 72.22 | |
| SDGCN-G w/o pWord Embedding=GloVe2019.06 | 81.61 | 72.93 | |
| PBANWord Embedding=GloVe2019.06 | 81.16 | — | |
| AENWord Embedding=GloVe2019.06 | 80.98 | 72.14 | |
| RANWord Embedding=GloVe2019.06 | 80.23 | 70.8 | |
| TSNWord Embedding=GloVe2019.06 | 80.1 | — | |
| IANWord Embedding=GloVe2019.06 | 78.6 | — | |
| MenNetWord Embedding=GloVe2019.06 | 78.16 | 65.83 | |
| ATAE-LSTMWord Embedding=GloVe2019.06 | 77.2 | — | |
| TD-LSTMWord Embedding=GloVe2019.06 | 75.63 | — |