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 751–800 of 3635 papers

TitleStatusHype
A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification—0
Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques—0
Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approachCode0
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classificationCode0
Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English LanguageCode0
Adversarial Examples for DNA Classification—0
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessCode0
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language ModelsCode0
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification—0
Leveraging Annotator Disagreement for Text Classification—0
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification—0
Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text ClassificationCode0
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text ClassificationCode0
Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing—0
Using Natural Language Processing to find Indication for Burnout with Text Classification: From Online Data to Real-World Data—0
On Importance of Pruning and Distillation for Efficient Low Resource NLP—0
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification—0
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text ClassificationCode0
Turbo your multi-modal classification with contrastive learning—0
LLM-based feature generation from text for interpretable machine learningCode0
Analysis of Socially Unacceptable Discourse with Zero-shot LearningCode0
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword RegularizationCode0
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets—0
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU—0
OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation—0
State-of-the-art Advances of Deep-learning Linguistic Steganalysis Research—0
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science—0
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads—0
Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study—0
Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change DomainCode0
Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settings—0
Domain-specific long text classification from sparse relevant information—0
Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning—0
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design—0
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding—0
NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models—0
AutoML-guided Fusion of Entity and LLM-based Representations for Document ClassificationCode0
A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification—0
Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning—0
Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health QuestionsCode0
BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis—0
Evaluating Text Classification Robustness to Part-of-Speech Adversarial Examples—0
Large Language Models Prompting With Episodic Memory—0
Comprehensive dataset of user-submitted articles with ideological and extreme bias from RedditCode0
HiLight: A Hierarchy-aware Light Global Model with Hierarchical Local ConTrastive Learning—0
Text classification optimization algorithm based on graph neural network—0
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals—0
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning—0
A Debiased Nearest Neighbors Framework for Multi-Label Text Classification—0
Leveraging Parameter Efficient Training Methods for Low Resource Text Classification: A Case Study in Marathi—0
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All datasetsMTEBAG NewsDBpediaR8TREC-620NEWSUK Key Stage ReadabilityOhsumedYahoo! AnswersMRClimabenchNewsDiscourse

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
3SWEM-averError7.8—Unverified
4DELTA (CNN)Error7.8—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
10XLNetF174—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTaGCNAccuracy72.8—Unverified
2Our Model*Accuracy69.4—Unverified
3SSGCAccuracy68.5—Unverified
4SGCAccuracy68.5—Unverified
5SGCNAccuracy68.5—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
5SGCAccuracy94—Unverified
6SGCNAccuracy94—Unverified
7Text GCNAccuracy93.56—Unverified
8TM-GloveAccuracy89.14—Unverified