Text Classification On Onestopenglish
评估指标
Accuracy (5-fold)
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | ||
|---|---|---|---|
| RoBERTa-RF-T1 hybrid | 0.990 | Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features | |
| NPRM-BERT | 0.979 | A Neural Pairwise Ranking Model for Readability Assessment | |
| HAN (Hierarchical Attention Network) | 0.787 | Supervised and Unsupervised Neural Approaches to Text Readability | |
| SMO (Sequential Minimal Optimization) | 0.781 | OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification | - |
| Logistic Regression | 0.744 | BERT Embeddings for Automatic Readability Assessment |
0 of 5 row(s) selected.