Sentiment Analysis On Yelp Binary

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이 벤치마크에서 각 모델의 성능 결과

모델 이름	Error	Paper Title	Repository
DRNN	2.73	Disconnected Recurrent Neural Networks for Text Categorization	-
CNN	2.9	Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings	-
BERT large	1.89	Unsupervised Data Augmentation for Consistency Training
BERT_large+ITPT	1.81	How to Fine-Tune BERT for Text Classification?
ULMFiT	2.16	Universal Language Model Fine-tuning for Text Classification
Char-level CNN	4.88	Character-level Convolutional Networks for Text Classification
LEAM	4.69	Joint Embedding of Words and Labels for Text Classification
fastText, h=10, bigram	4.3	Bag of Tricks for Efficient Text Classification
DNC+CUW	3.60	Learning to Remember More with Less Memorization
DPCNN	2.64	Deep Pyramid Convolutional Neural Networks for Text Categorization	-
SVDCNN	4.74	Squeezed Very Deep Convolutional Neural Networks for Text Classification
CCCapsNet	3.52	Compositional Coding Capsule Network with K-Means Routing for Text Classification
Block-sparse LSTM	3.27	GPU Kernels for Block-Sparse Weights	-
BERT_base+ITPT	1.92	How to Fine-Tune BERT for Text Classification?
SRNN	3.96	Sliced Recurrent Neural Networks
BERT large finetune UDA	2.05	Unsupervised Data Augmentation for Consistency Training
LHTR	1.86	Heavy-tailed Representations, Text Polarity Classification & Data Augmentation	-
SWEM-hier	4.19	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
M-ACNN	3.89	Learning Context-Sensitive Convolutional Filters for Text Processing	-
XLNet	1.37	XLNet: Generalized Autoregressive Pretraining for Language Understanding

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