Text Classification On Dbpedia

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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
Seq2CNN(50)	2.77	Abstractive Text Classification Using Sequence-to-convolution Neural Networks
Char-level CNN	1.55	Character-level Convolutional Networks for Text Classification
SWEM-concat	1.43	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
FastText	1.4	Bag of Tricks for Efficient Text Classification
VDCN	1.29	Very Deep Convolutional Networks for Text Classification
CCCapsNet	1.28	Compositional Coding Capsule Network with K-Means Routing for Text Classification
Balanced+bi-leaf-RNN	1.2	On Tree-Based Neural Sentence Modeling
BERT large UDA	1.09	Unsupervised Data Augmentation for Consistency Training
M-ACNN	1.07	Learning Context-Sensitive Convolutional Filters for Text Processing
EXAM	1	Explicit Interaction Model towards Text Classification
LEAM	0.98	Joint Embedding of Words and Labels for Text Classification
DPCNN	0.88	Deep Pyramid Convolutional Neural Networks for Text Categorization
CNN	0.84	Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
DRNN	0.81	Disconnected Recurrent Neural Networks for Text Categorization
ULMFiT	0.80	Universal Language Model Fine-tuning for Text Classification
ULMFiT (Small data)	0.8	Sampling Bias in Deep Active Classification: An Empirical Study
L MIXED	0.7	Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
BERT large	0.68	Unsupervised Data Augmentation for Consistency Training
BERT-ITPT-FiT	0.68	How to Fine-Tune BERT for Text Classification?
Bidirectional Encoder Representations from Transformers	0.64	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Text Classification On Dbpedia

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評価結果