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K
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SOTA
Text Classification
Text Classification On R8
Text Classification On R8
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Accuracy
Paper Title
Repository
SGNN
98.09
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
C-BERT (ESGNN + BERT)
98.28
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
ESGNN
98.23
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
DistilBERT
97.981
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
SSGC
97.4
Simple Spectral Graph Convolution
fastText
96.13
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
SGC
97.2
Simplifying Graph Convolutional Networks
TM-Glove
97.50
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
GraphStar
97.4
Graph Star Net for Generalized Multi-Task Learning
WideMLP
96.98
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
ERNIE 2.0
98.041
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
DeBERTa
98.451
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
NABoE-full
97.1
Neural Attentive Bag-of-Entities Model for Text Classification
Our Model*
97.8
Text Level Graph Neural Network for Text Classification
Text GCN
97.07
Graph Convolutional Networks for Text Classification
SGCN
97.2
Simplifying Graph Convolutional Networks
BERT
98.171
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
TextEnt-full
96.7
Representation Learning of Entities and Documents from Knowledge Base Descriptions
RoBERTaGCN
98.2
BertGCN: Transductive Text Classification by Combining GCN and BERT
ConvTextTM
96.4
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
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