Text Classification On Dbpedia

Error

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif

Nom du modèle	Error
universal-language-model-fine-tuning-for-text	0.80
bag-of-tricks-for-efficient-text	1.4
character-level-convolutional-networks-for	1.55
abstractive-text-classification-using	2.77
very-deep-convolutional-networks-for-text	1.29
sampling-bias-in-deep-active-classification	0.8
explicit-interaction-model-towards-text	1
xlnet-generalized-autoregressive-pretraining	0.62
bert-pre-training-of-deep-bidirectional	0.64
deep-pyramid-convolutional-neural-networks	0.88
revisiting-lstm-networks-for-semi-supervised-1	0.7
disconnected-recurrent-neural-networks-for	0.81
unsupervised-data-augmentation-1	0.68
on-tree-based-neural-sentence-modeling	1.2
how-to-fine-tune-bert-for-text-classification	0.68
compositional-coding-capsule-network-with-k	1.28
unsupervised-data-augmentation-1	1.09
supervised-and-semi-supervised-text	0.84
learning-context-sensitive-convolutional	1.07
baseline-needs-more-love-on-simple-word	1.43
joint-embedding-of-words-and-labels-for-text	0.98