Text Classification On Ag News

Métriques

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Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Error	Paper Title	Repository
DNC+CUW	6.10	Learning to Remember More with Less Memorization
XLNet	4.45	XLNet: Generalized Autoregressive Pretraining for Language Understanding
VDCN	8.67	Very Deep Convolutional Networks for Text Classification
EXAM	7	Explicit Interaction Model towards Text Classification
SVDCNN	9.45	Squeezed Very Deep Convolutional Neural Networks for Text Classification
L MIXED	4.95	Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function	-
SWEM-concat	7.34	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Seq2CNN with GWS(50)	9.64	Abstractive Text Classification Using Sequence-to-convolution Neural Networks
DRNN	5.53	Disconnected Recurrent Neural Networks for Text Categorization	-
LEAM	7.55	Joint Embedding of Words and Labels for Text Classification
fastText	7.5	Bag of Tricks for Efficient Text Classification
DPCNN	6.87	Deep Pyramid Convolutional Neural Networks for Text Categorization
ULMFiT (Small data)	6.3	Sampling Bias in Deep Active Classification: An Empirical Study
BERT-ITPT-FiT	4.8	How to Fine-Tune BERT for Text Classification?
Char-level CNN	9.51	Character-level Convolutional Networks for Text Classification
Capsule-B	7.4	Investigating Capsule Networks with Dynamic Routing for Text Classification
CCCapsNet	7.61	Compositional Coding Capsule Network with K-Means Routing for Text Classification
Balanced+bi-leaf-RNN	7.9	On Tree-Based Neural Sentence Modeling
ToWE-SG	14.0	Task-oriented Word Embedding for Text Classification
ULMFiT	5.01	Universal Language Model Fine-tuning for Text Classification

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