Text Classification On Yahoo Answers
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| compositional-coding-capsule-network-with-k | 73.85 |
| disconnected-recurrent-neural-networks-for | 76.26 |
| abstractive-text-classification-using | 55.39 |
| how-to-fine-tune-bert-for-text-classification | 77.62 |
| bag-of-tricks-for-efficient-text | 72.3 |
| learning-to-remember-more-with-less | 74.30 |
| explicit-interaction-model-towards-text | 74.8 |
| sampling-bias-in-deep-active-classification | 74.3 |
| baseline-needs-more-love-on-simple-word | 73.53 |
| delta-a-deep-learning-based-language | 75.1 |