SOTAVerified

Text Classification

Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.

In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.

( Image credit: Text Classification Algorithms: A Survey )

Papers

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Showing 1–10 of 3635 papers

TitleStatusHype
Making Language Model a Hierarchical Classifier and GeneratorCode0
GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text RepresentationCode0
Robustness of Misinformation Classification Systems to Adversarial Examples Through BeamAttackCode0
The Trilemma of Truth in Large Language ModelsCode0
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems—0
Can Generated Images Serve as a Viable Modality for Text-Centric Multimodal Learning?—0
SHREC and PHEONA: Using Large Language Models to Advance Next-Generation Computational Phenotyping—0
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages—0
mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks—0
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification—0
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All datasetsMTEBAG NewsDBpediaR8TREC-620NEWSUK Key Stage ReadabilityOhsumedYahoo! AnswersMRClimabenchNewsDiscourse

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy98.45—Unverified
2C-BERT (ESGNN + BERT)Accuracy98.28—Unverified
3ESGNNAccuracy98.23—Unverified
4RoBERTaGCNAccuracy98.2—Unverified
5BERTAccuracy98.17—Unverified
6SGNNAccuracy98.09—Unverified
7ERNIE 2.0Accuracy98.04—Unverified
8DistilBERTAccuracy97.98—Unverified
9Our Model*Accuracy97.8—Unverified
10ALBERTv2Accuracy97.62—Unverified