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 351–400 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-XXLAccuracy73.42—Unverified
2ST5-XLAccuracy72.84—Unverified
3ST5-LargeAccuracy72.31—Unverified
4Ada SimilarityAccuracy70.44—Unverified
5SGPT-5.8B-nliAccuracy70.14—Unverified
6ST5-BaseAccuracy69.81—Unverified
7SGPT-5.8B-msmarcoAccuracy68.13—Unverified
8MPNet-multilingualAccuracy67.91—Unverified
9GTR-XXLAccuracy67.41—Unverified
10SimCSE-BERT-supAccuracy67.32—Unverified
#ModelMetricClaimedVerifiedStatus
1Mistral-Small-24B + CAPOError15.7—Unverified
2ToWE-SGError14—Unverified
3Qwen2.5-32B + CAPOError12.93—Unverified
4Llama-3.3-70B + CAPOError11.2—Unverified
5Seq2CNN with GWS(50)Error9.64—Unverified
6Char-level CNNError9.51—Unverified
7SVDCNNError9.45—Unverified
8VDCNError8.67—Unverified
9Balanced+bi-leaf-RNNError7.9—Unverified
10CCCapsNetError7.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Seq2CNN(50)Error2.77—Unverified
2Char-level CNNError1.55—Unverified
3SWEM-concatError1.43—Unverified
4FastTextError1.4—Unverified
5VDCNError1.29—Unverified
6CCCapsNetError1.28—Unverified
7Balanced+bi-leaf-RNNError1.2—Unverified
8BERT large UDAError1.09—Unverified
9M-ACNNError1.07—Unverified
10EXAMError1—Unverified
#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
#ModelMetricClaimedVerifiedStatus
1TM-GloveError9.96—Unverified
2byte mLSTM7Error9.6—Unverified
3DELTA (CNN)Error7.8—Unverified
4SWEM-averError7.8—Unverified
5Capsule-BError7.2—Unverified
6STM+TSED+PT+2LError7.04—Unverified
7GRU-RNN-GLOVEError7—Unverified
8MPAD-pathError6.2—Unverified
9VLAWEError5.8—Unverified
10C-LSTMError5.4—Unverified
#ModelMetricClaimedVerifiedStatus
1LinearSVM+TFIDFAccuracy93—Unverified
2RoBERTaGCNAccuracy89.5—Unverified
3SSGCAccuracy88.6—Unverified
4SGCAccuracy88.5—Unverified
5SGCNAccuracy88.5—Unverified
6RMDL (15 RDLs)Accuracy87.91—Unverified
7Sparse Tensor ClassifierAccuracy87.3—Unverified
8GraphStarAccuracy86.9—Unverified
9NABoE-fullAccuracy86.8—Unverified
10Text GCNAccuracy86.34—Unverified
#ModelMetricClaimedVerifiedStatus
1ELECTRA + ANNF199.6—Unverified
2ERNIE + ANNF199.4—Unverified
3XLNet + ANNF199.2—Unverified
4RoBERTa + ANNF198.7—Unverified
5Longformer + ANNF193.9—Unverified
6BERT + ANNF190.5—Unverified
7ALBERT + ANNF179.7—Unverified
8BERTF175—Unverified
9DistilBERTF174.4—Unverified
10LongformerF174—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTaGCNAccuracy72.8—Unverified
2Our Model*Accuracy69.4—Unverified
3SGCNAccuracy68.5—Unverified
4SGCAccuracy68.5—Unverified
5SSGCAccuracy68.5—Unverified
6Text GCNAccuracy68.36—Unverified
7GraphStarAccuracy64.2—Unverified
8ApproxRepSetAccuracy64.06—Unverified
9REL-RWMD k-NNAccuracy58.74—Unverified
10CNN+LowercasedAccuracy36.2—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-ITPT-FiTAccuracy77.62—Unverified
2DRNNAccuracy76.26—Unverified
3DELTA (HAN)Accuracy75.1—Unverified
4EXAMAccuracy74.8—Unverified
5DNC+CUWAccuracy74.3—Unverified
6ULMFiT (Small data)Accuracy74.3—Unverified
7CCCapsNetAccuracy73.85—Unverified
8SWEM-concatAccuracy73.53—Unverified
9FastTextAccuracy72.3—Unverified
10Seq2CNN(50)Accuracy55.39—Unverified
#ModelMetricClaimedVerifiedStatus
1DeBERTaAccuracy90.21—Unverified
2RoBERTaGCNAccuracy89.7—Unverified
3ERNIE 2.0 (optimized)Accuracy89.53—Unverified
4RoBERTaAccuracy89.42—Unverified
5ERNIE 2.0Accuracy88.97—Unverified
6BERTAccuracy86.94—Unverified
7ALBERTv2Accuracy86.02—Unverified
8DistilBERTAccuracy85.31—Unverified
9SSGCAccuracy76.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CliReBERT (P0L3/clirebert_clirevocab_uncased)Evaluation Macro F10.65—Unverified
2ClimateBERT (climatebert/distilroberta-base-climate-f)Evaluation Macro F10.64—Unverified
3BERT (google-bert/bert-base-uncased)Evaluation Macro F10.61—Unverified
4CliSciBERT (P0L3/cliscibert_scivocab_uncased)Evaluation Macro F10.61—Unverified
5SciBERT (allenai/scibert_scivocab_cased)Evaluation Macro F10.59—Unverified
6DistilRoBERTa (distilbert/distilroberta-base)Evaluation Macro F10.58—Unverified
7SciClimateBERT (P0L3/sciclimatebert)Evaluation Macro F10.58—Unverified
8RoBERTa (FacebookAI/roberta-base)Evaluation Macro F10.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Human (Post-Rec.) (Spangher et al., 2021)macro F173.69—Unverified
2MT-Mac (Spangher et al., 2021)macro F163.46—Unverified
3MT-Mic (Spangher et al., 2021)macro F161.89—Unverified
4RL-IP/TT (Choubey et al., 2021)macro F157—Unverified
5Document LSTM + Document encoding (Choubey et al., 2020)macro F154.4—Unverified
6CRF Fine-grained (Choubey et al., 2020)macro F152.9—Unverified
7Human (Blind) (Spangher et al., 2021)macro F146.18—Unverified
8Feature-based (SVM) (Choubey et al., 2020)macro F138.3—Unverified
#ModelMetricClaimedVerifiedStatus
11-6 BertGCNAccuracy96.6—Unverified
2GraphStarAccuracy95—Unverified
3Our Model*Accuracy94.6—Unverified
4SSGCAccuracy94.5—Unverified
5SGCNAccuracy94—Unverified
6SGCAccuracy94—Unverified
7Text GCNAccuracy93.56—Unverified
8TM-GloveAccuracy89.14—Unverified