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 351400 of 3635 papers

TitleStatusHype
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order SensitivityCode1
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD DatasetCode1
R&R: Metric-guided Adversarial Sentence GenerationCode1
Text Guide: Improving the quality of long text classification by a text selection method based on feature importanceCode1
Continual Learning for Text Classification with Information Disentanglement Based RegularizationCode1
Approximating Instance-Dependent Noise via Instance-Confidence EmbeddingCode1
SelfExplain: A Self-Explaining Architecture for Neural Text ClassifiersCode1
Refining Language Models with Compositional ExplanationsCode1
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!Code1
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum LearningCode1
An Amharic News Text classification DatasetCode1
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text ClassificationCode1
ReadNet: A Hierarchical Transformer Framework for Web Article Readability AnalysisCode1
Contrastive Explanations for Model InterpretabilityCode1
RoBERTa-wwm-ext Fine-Tuning for Chinese Text ClassificationCode1
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen DomainsCode1
MATCH: Metadata-Aware Text Classification in A Large HierarchyCode1
Challenges in Automated Debiasing for Toxic Language DetectionCode1
A Neural Few-Shot Text Classification Reality CheckCode1
Towards Robustness to Label Noise in Text Classification via Noise ModelingCode1
Does Head Label Help for Long-Tailed Multi-Label Text ClassificationCode1
Classifying Scientific Publications with BERT -- Is Self-Attention a Feature Selection Method?Code1
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text ClassificationCode1
Simple Spectral Graph ConvolutionCode1
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaCode1
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuningCode1
Generating Natural Language Attacks in a Hard Label Black Box SettingCode1
HateXplain: A Benchmark Dataset for Explainable Hate Speech DetectionCode1
Robustness to Spurious Correlations in Text Classification via Automatically Generated CounterfactualsCode1
MASKER: Masked Keyword Regularization for Reliable Text ClassificationCode1
Transformer Interpretability Beyond Attention VisualizationCode1
Label Confusion Learning to Enhance Text Classification ModelsCode1
CogLTX: Applying BERT to Long TextsCode1
Two-Step Classification using Recasted Data for Low Resource SettingsCode1
Neural Semi-supervised Learning for Text Classification Under Large-Scale PretrainingCode1
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level AnnotationCode1
CharBERT: Character-aware Pre-trained Language ModelCode1
Be More with Less: Hypergraph Attention Networks for Inductive Text ClassificationCode1
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic InterpretationsCode1
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional LevelsCode1
Optimizing Word Segmentation for Downstream TaskCode1
Active Learning for BERT: An Empirical StudyCode1
X-Class: Text Classification with Extremely Weak SupervisionCode1
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings CallsCode1
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution DataCode1
Cold-start Active Learning through Self-supervised Language ModelingCode1
WNUT-2020 Task 2: Identification of Informative COVID-19 English TweetsCode1
Semi-supervised NMF Models for Topic Modeling in Learning TasksCode1
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training ApproachCode1
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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
3DELTA (CNN)Error7.8Unverified
4SWEM-averError7.8Unverified
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
10LongformerF174Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTaGCNAccuracy72.8Unverified
2Our Model*Accuracy69.4Unverified
3SSGCAccuracy68.5Unverified
4SGCNAccuracy68.5Unverified
5SGCAccuracy68.5Unverified
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