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 801850 of 3635 papers

TitleStatusHype
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal DataCode0
Hybrid uncertainty quantification for selective text classification in ambiguous tasks0
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search0
Low-Resource Cross-Lingual Adaptive Training for Nigerian PidginCode0
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning0
Investigating Cross-Domain Behaviors of BERT in Review Understanding0
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial DetectionCode0
Label-Aware Hyperbolic Embeddings for Fine-grained Emotion ClassificationCode1
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models0
Evolutionary Verbalizer Search for Prompt-based Few Shot Text ClassificationCode0
Description-Enhanced Label Embedding Contrastive Learning for Text ClassificationCode0
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text ClassificationCode1
One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportCode0
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings0
Rank-Aware Negative Training for Semi-Supervised Text ClassificationCode0
h2oGPT: Democratizing Large Language ModelsCode6
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production TasksCode1
Soft Language Clustering for Multilingual Model Pre-training0
Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili0
Imbalanced Multi-label Classification for Business-related Text with Moderately Large Label Spaces0
Linear Classifier: An Often-Forgotten Baseline for Text ClassificationCode1
Privacy- and Utility-Preserving NLP with Anonymized Data: A case study of PseudonymizationCode0
Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models0
Leveraging Language Identification to Enhance Code-Mixed Text Classification0
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models0
T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text ClassificationCode0
Analysis of the Fed's communication by using textual entailment model of Zero-Shot classification0
Contrastive Bootstrapping for Label RefinementCode0
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label DescriptionsCode0
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels0
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference TransformationCode0
Word Embeddings for Banking Industry0
Learning Transformer ProgramsCode1
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems0
Analyzing Text Representations by Measuring Task Alignment0
Efficient Shapley Values Estimation by Amortization for Text ClassificationCode1
Machine Learning Approach for Cancer Entities Association and Classification0
Cross Encoding as Augmentation: Towards Effective Educational Text Classification0
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-TuningCode1
Multiscale Positive-Unlabeled Detection of AI-Generated TextsCode2
Mitigating Label Biases for In-context LearningCode1
A Two-Stage Decoder for Efficient ICD CodingCode0
A Framework For Refining Text Classification and Object Recognition from Academic Articles0
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias0
Hierarchical Verbalizer for Few-Shot Hierarchical Text ClassificationCode1
Label Agnostic Pre-training for Zero-shot Text ClassificationCode1
Perturbation-based Self-supervised Attention for Attention Bias in Text Classification0
EXnet: Efficient In-context Learning for Data-less Text classification0
Estimating class separability of text embeddings with persistent homology0
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification0
Show:102550
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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