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Text Classification On Ohsumed

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title	Repository
RoBERTaGCN	72.8	BertGCN: Transductive Text Classification by Combining GCN and BERT
Our Model*	69.4	Text Level Graph Neural Network for Text Classification
SGC	68.5	Simplifying Graph Convolutional Networks
SSGC	68.5	Simple Spectral Graph Convolution	-
SGCN	68.5	Simplifying Graph Convolutional Networks
Text GCN	68.36	Graph Convolutional Networks for Text Classification
GraphStar	64.2	Graph Star Net for Generalized Multi-Task Learning
ApproxRepSet	64.06	Rep the Set: Neural Networks for Learning Set Representations
REL-RWMD k-NN	58.74	Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
CNN+Lowercased	36.2	On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis

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Text Classification On Ohsumed | SOTA | HyperAI