Classification on OneStopEnglish (Readability Assessment)

Metric: Accuracy (5-fold) (higher is better)

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#	Model↕	Accuracy (5-fold)▼	Augmentations	Paper	Date↕	Code
1	RoBERTa-RF-T1 hybrid	0.99	No	Pushing on Text Readability Assessment: A Transf...	2021-09-25	Code
2	NPRM-BERT	0.979	No	A Neural Pairwise Ranking Model for Readability ...	2022-03-14	Code
3	HAN (Hierarchical Attention Network)	0.787	No	Supervised and Unsupervised Neural Approaches to...	2019-07-26	Code
4	SMO (Sequential Minimal Optimization)	0.781	No	-	-	-
5	Logistic Regression	0.744	No	BERT Embeddings for Automatic Readability Assess...	2021-06-15	Code

#1RoBERTa-RF-T1 hybridSOTA
0.99
Accuracy (5-fold)· 2021-09-25
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features Code
#2NPRM-BERT
0.979
Accuracy (5-fold)· 2022-03-14
A Neural Pairwise Ranking Model for Readability Assessment Code
#3HAN (Hierarchical Attention Network)SOTA
0.787
Accuracy (5-fold)· 2019-07-26
Supervised and Unsupervised Neural Approaches to Text Readability Code
#4SMO (Sequential Minimal Optimization)
0.781
Accuracy (5-fold)
No paper
#5Logistic Regression
0.744
Accuracy (5-fold)· 2021-06-15
BERT Embeddings for Automatic Readability Assessment Code