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

Showing 251300 of 3635 papers

TitleStatusHype
Resolving label uncertainty with implicit posterior modelsCode1
Interpreting Language Models with Contrastive ExplanationsCode1
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationCode1
MuLD: The Multitask Long Document BenchmarkCode1
Random Laplacian Features for Learning with Hyperbolic SpaceCode1
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text ClassificationCode1
Cyclical Curriculum LearningCode1
Predicting Out-of-Distribution Error with the Projection NormCode1
Nonparametric Uncertainty Quantification for Single Deterministic Neural NetworkCode1
Dual Contrastive Learning: Text Classification via Label-Aware Data AugmentationCode1
Black-box Prompt Learning for Pre-trained Language ModelsCode1
RuMedBench: A Russian Medical Language Understanding BenchmarkCode1
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt VerbalizerCode1
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical StudyCode1
Transformer Uncertainty Estimation with Hierarchical Stochastic AttentionCode1
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale ExtractionCode1
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language ModelsCode1
UNIREX: A Unified Learning Framework for Language Model Rationale ExtractionCode1
Text Classification Models for Form Entity LinkingCode1
ContrXT: Generating Contrastive Explanations from any Text ClassifierCode1
KNAS: Green Neural Architecture SearchCode1
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata InformationCode1
Co-attention network with label embedding for text classificationCode1
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text ClassificationCode1
Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced LanguagesCode1
WHOSe Heritage: Classification of UNESCO World Heritage Statements of "Outstanding Universal Value” with Soft LabelsCode1
FinEAS: Financial Embedding Analysis of SentimentCode1
Hierarchical Heterogeneous Graph Representation Learning for Short Text ClassificationCode1
Diversity Enhanced Active Learning with Strictly Proper Scoring RulesCode1
ClimateBert: A Pretrained Language Model for Climate-Related TextCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student ModelsCode1
Meta-learning via Language Model In-context TuningCode1
ReGVD: Revisiting Graph Neural Networks for Vulnerability DetectionCode1
Automated Essay Scoring Using Transformer ModelsCode1
Towards a Unified View of Parameter-Efficient Transfer LearningCode1
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN ClassifierCode1
Weakly-supervised Text Classification Based on Keyword GraphCode1
MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsCode1
Emoji Prediction from Twitter Data using Deep Learning ApproachCode1
Semi-Supervised Text Classification via Self-PretrainingCode1
RAFT: A Real-World Few-Shot Text Classification BenchmarkCode1
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic FeaturesCode1
Byzantine-robust Federated Learning through Collaborative Malicious Gradient FilteringCode1
FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution NetworksCode1
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text ClassificationCode1
Knowledge-Aware Meta-learning for Low-Resource Text ClassificationCode1
A Strong Baseline for Query Efficient Attacks in a Black Box SettingCode1
Balancing Methods for Multi-label Text Classification with Long-Tailed Class DistributionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST5-XXLAccuracy73.42Unverified
2ST5-XLAccuracy72.84Unverified
3ST5-LargeAccuracy72.31Unverified
4Ada SimilarityAccuracy70.44Unverified
5SGPT-5.8B-nliAccuracy70.14Unverified
6ST5-BaseAccuracy69.81Unverified
7SGPT-5.8B-msmarcoAccuracy68.13Unverified
8MPNet-multilingualAccuracy67.91Unverified
9GTR-XXLAccuracy67.41Unverified
10SimCSE-BERT-supAccuracy67.32Unverified
#ModelMetricClaimedVerifiedStatus
1Mistral-Small-24B + CAPOError15.7Unverified
2ToWE-SGError14Unverified
3Qwen2.5-32B + CAPOError12.93Unverified
4Llama-3.3-70B + CAPOError11.2Unverified
5Seq2CNN with GWS(50)Error9.64Unverified
6Char-level CNNError9.51Unverified
7SVDCNNError9.45Unverified
8VDCNError8.67Unverified
9Balanced+bi-leaf-RNNError7.9Unverified
10CCCapsNetError7.61Unverified
#ModelMetricClaimedVerifiedStatus
1Seq2CNN(50)Error2.77Unverified
2Char-level CNNError1.55Unverified
3SWEM-concatError1.43Unverified
4FastTextError1.4Unverified
5VDCNError1.29Unverified
6CCCapsNetError1.28Unverified
7Balanced+bi-leaf-RNNError1.2Unverified
8BERT large UDAError1.09Unverified
9M-ACNNError1.07Unverified
10EXAMError1Unverified
#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy98.45Unverified
2C-BERT (ESGNN + BERT)Accuracy98.28Unverified
3ESGNNAccuracy98.23Unverified
4RoBERTaGCNAccuracy98.2Unverified
5BERTAccuracy98.17Unverified
6SGNNAccuracy98.09Unverified
7ERNIE 2.0Accuracy98.04Unverified
8DistilBERTAccuracy97.98Unverified
9Our Model*Accuracy97.8Unverified
10ALBERTv2Accuracy97.62Unverified
#ModelMetricClaimedVerifiedStatus
1TM-GloveError9.96Unverified
2byte mLSTM7Error9.6Unverified
3SWEM-averError7.8Unverified
4DELTA (CNN)Error7.8Unverified
5Capsule-BError7.2Unverified
6STM+TSED+PT+2LError7.04Unverified
7GRU-RNN-GLOVEError7Unverified
8MPAD-pathError6.2Unverified
9VLAWEError5.8Unverified
10C-LSTMError5.4Unverified
#ModelMetricClaimedVerifiedStatus
1LinearSVM+TFIDFAccuracy93Unverified
2RoBERTaGCNAccuracy89.5Unverified
3SSGCAccuracy88.6Unverified
4SGCAccuracy88.5Unverified
5SGCNAccuracy88.5Unverified
6RMDL (15 RDLs)Accuracy87.91Unverified
7Sparse Tensor ClassifierAccuracy87.3Unverified
8GraphStarAccuracy86.9Unverified
9NABoE-fullAccuracy86.8Unverified
10Text GCNAccuracy86.34Unverified
#ModelMetricClaimedVerifiedStatus
1ELECTRA + ANNF199.6Unverified
2ERNIE + ANNF199.4Unverified
3XLNet + ANNF199.2Unverified
4RoBERTa + ANNF198.7Unverified
5Longformer + ANNF193.9Unverified
6BERT + ANNF190.5Unverified
7ALBERT + ANNF179.7Unverified
8BERTF175Unverified
9DistilBERTF174.4Unverified
10XLNetF174Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTaGCNAccuracy72.8Unverified
2Our Model*Accuracy69.4Unverified
3SSGCAccuracy68.5Unverified
4SGCAccuracy68.5Unverified
5SGCNAccuracy68.5Unverified
6Text GCNAccuracy68.36Unverified
7GraphStarAccuracy64.2Unverified
8ApproxRepSetAccuracy64.06Unverified
9REL-RWMD k-NNAccuracy58.74Unverified
10CNN+LowercasedAccuracy36.2Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-ITPT-FiTAccuracy77.62Unverified
2DRNNAccuracy76.26Unverified
3DELTA (HAN)Accuracy75.1Unverified
4EXAMAccuracy74.8Unverified
5DNC+CUWAccuracy74.3Unverified
6ULMFiT (Small data)Accuracy74.3Unverified
7CCCapsNetAccuracy73.85Unverified
8SWEM-concatAccuracy73.53Unverified
9FastTextAccuracy72.3Unverified
10Seq2CNN(50)Accuracy55.39Unverified
#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy90.21Unverified
2RoBERTaGCNAccuracy89.7Unverified
3ERNIE 2.0 (optimized)Accuracy89.53Unverified
4RoBERTaAccuracy89.42Unverified
5ERNIE 2.0Accuracy88.97Unverified
6BERTAccuracy86.94Unverified
7ALBERTv2Accuracy86.02Unverified
8DistilBERTAccuracy85.31Unverified
9SSGCAccuracy76.7Unverified
#ModelMetricClaimedVerifiedStatus
1CliReBERT (P0L3/clirebert_clirevocab_uncased)Evaluation Macro F10.65Unverified
2ClimateBERT (climatebert/distilroberta-base-climate-f)Evaluation Macro F10.64Unverified
3BERT (google-bert/bert-base-uncased)Evaluation Macro F10.61Unverified
4CliSciBERT (P0L3/cliscibert_scivocab_uncased)Evaluation Macro F10.61Unverified
5SciBERT (allenai/scibert_scivocab_cased)Evaluation Macro F10.59Unverified
6DistilRoBERTa (distilbert/distilroberta-base)Evaluation Macro F10.58Unverified
7SciClimateBERT (P0L3/sciclimatebert)Evaluation Macro F10.58Unverified
8RoBERTa (FacebookAI/roberta-base)Evaluation Macro F10.57Unverified
#ModelMetricClaimedVerifiedStatus
1Human (Post-Rec.) (Spangher et al., 2021)macro F173.69Unverified
2MT-Mac (Spangher et al., 2021)macro F163.46Unverified
3MT-Mic (Spangher et al., 2021)macro F161.89Unverified
4RL-IP/TT (Choubey et al., 2021)macro F157Unverified
5Document LSTM + Document encoding (Choubey et al., 2020)macro F154.4Unverified
6CRF Fine-grained (Choubey et al., 2020)macro F152.9Unverified
7Human (Blind) (Spangher et al., 2021)macro F146.18Unverified
8Feature-based (SVM) (Choubey et al., 2020)macro F138.3Unverified
#ModelMetricClaimedVerifiedStatus
11-6 BertGCNAccuracy96.6Unverified
2GraphStarAccuracy95Unverified
3Our Model*Accuracy94.6Unverified
4SSGCAccuracy94.5Unverified
5SGCAccuracy94Unverified
6SGCNAccuracy94Unverified
7Text GCNAccuracy93.56Unverified
8TM-GloveAccuracy89.14Unverified