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Text Classification On R8

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Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Paper Title
DeBERTa98.451Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
C-BERT (ESGNN + BERT)98.28Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
ESGNN98.23Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
RoBERTaGCN98.2BertGCN: Transductive Text Classification by Combining GCN and BERT
BERT98.171Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
SGNN98.09Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
ERNIE 2.098.041Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
DistilBERT97.981Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
Our Model*97.8Text Level Graph Neural Network for Text Classification
ALBERTv297.62Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
TM-Glove97.50Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
SSGC97.4Simple Spectral Graph Convolution
GraphStar97.4Graph Star Net for Generalized Multi-Task Learning
SGC97.2Simplifying Graph Convolutional Networks
SGCN97.2Simplifying Graph Convolutional Networks
NABoE-full97.1Neural Attentive Bag-of-Entities Model for Text Classification
Text GCN97.07Graph Convolutional Networks for Text Classification
WideMLP96.98Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
TextEnt-full96.7Representation Learning of Entities and Documents from Knowledge Base Descriptions
ConvTextTM96.4ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
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Text Classification On R8 | SOTA | HyperAI