Text Classification On R8

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	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	-

0 of 21 row(s) selected.