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المنصة
الرئيسية
SOTA
تصنيف النصوص
Text Classification On R8
Text Classification On R8
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy
Paper Title
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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