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SOTA
文本分类
Text Classification On Ohsumed
Text Classification On Ohsumed
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
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超神经