Text Classification On Onestopenglish

Accuracy (5-fold)

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
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.