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SOTA
文本分类
Text Classification On R8
Text Classification On R8
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
DeBERTa
98.451
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
RoBERTaGCN
98.2
BertGCN: Transductive Text Classification by Combining GCN and BERT
BERT
98.171
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
SGNN
98.09
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
DistilBERT
97.981
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
Our Model*
97.8
Text Level Graph Neural Network for Text Classification
ALBERTv2
97.62
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
TM-Glove
97.50
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
SSGC
97.4
Simple Spectral Graph Convolution
-
GraphStar
97.4
Graph Star Net for Generalized Multi-Task Learning
SGC
97.2
Simplifying Graph Convolutional Networks
SGCN
97.2
Simplifying Graph Convolutional Networks
NABoE-full
97.1
Neural Attentive Bag-of-Entities Model for Text Classification
Text GCN
97.07
Graph Convolutional Networks for Text Classification
WideMLP
96.98
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
ConvTextTM
96.4
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
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