HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Text Classification
Text Classification On Ohsumed
Text Classification On Ohsumed
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
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
0 of 10 row(s) selected.
Previous
Next