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Text Classification On Mr

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
BERT	86.94	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
ALBERTv2	86.02	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
ERNIE 2.0	88.97	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
ERNIE 2.0 (optimized)	89.53	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
DistilBERT	85.31	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
RoBERTa	89.42	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
SSGC	76.7	Simple Spectral Graph Convolution
VLAWE	93.3	Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
RoBERTaGCN	89.7	BertGCN: Transductive Text Classification by Combining GCN and BERT
DeBERTa	90.21	Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

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