CNN+Attention+FT+GV
Reported on 6 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing6 results
- Classification Accuracy· 2020-06-110.7515best: 0.8015 (BiLSTM + static BE)
- F1-score· 2020-06-110.7441best: 0.7971 (BiLSTM + static BE)
- Precision· 2020-06-1174.92best: 79.17 (BERT)
- Classification Accuracy· 2020-06-110.7515best: 0.8015 (BiLSTM + static BE)
- F1-score· 2020-06-110.7441best: 0.7971 (BiLSTM + static BE)
- Precision· 2020-06-1174.92best: 79.17 (BERT)