Document Classification On Reuters 21578

Results

Performance results of various models on this benchmark

		Paper Title
MAGNET	89.9	MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network
VLAWE	89.3	Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
KD-LSTMreg	88.9	DocBERT: BERT for Document Classification
LSTM-reg (single model)	87.0	Rethinking Complex Neural Network Architectures for Document Classification
SCDV-MS	82.71	Improving Document Classification with Multi-Sense Embeddings
ApproxRepSet	-	Rep the Set: Neural Networks for Learning Set Representations
REL-RWMD k-NN	-	Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
Orthogonalized Soft VSM	-	Text classification with word embedding regularization and soft similarity measure

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