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 13011350 of 3635 papers

TitleStatusHype
Annotation Error Detection: Analyzing the Past and Present for a More Coherent FutureCode1
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages0
Towards Classification of Legal Pharmaceutical Text using GAN-BERT0
Nepali Encoder Transformers: An Analysis of Auto Encoding Transformer Language Models for Nepali Text Classification0
Text Classification and Prediction in the Legal Domain0
XLNET-GRU Sentiment Regression Model for Cryptocurrency News in English and Malay0
Estimating Confidence of Predictions of Individual Classifiers and TheirEnsembles for the Genre Classification Task0
BERTifying Sinhala - A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text ClassificationCode0
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification0
Identifying Emotions in Code Mixed Hindi-English Tweets0
At the Intersection of NLP and Sustainable Development: Exploring the Impact of Demographic-Aware Text Representations in Modeling Value on a Corpus of InterviewsCode0
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification0
Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments0
CEPOC: The Cambridge Exams Publishing Open Cloze datasetCode0
InducT-GCN: Inductive Graph Convolutional Networks for Text ClassificationCode1
Benchmark of DNN Model Search at Deployment Time0
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference0
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels0
A Sea of Words: An In-Depth Analysis of Anchors for Text DataCode1
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
Unsupervised Reinforcement Adaptation for Class-Imbalanced Text ClassificationCode0
Federated Split BERT for Heterogeneous Text Classification0
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information0
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models0
BITE: Textual Backdoor Attacks with Iterative Trigger InjectionCode0
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot LearningCode1
Large Language Models are Few-Shot Clinical Information Extractors0
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text ClassificationCode0
WeDef: Weakly Supervised Backdoor Defense for Text Classification0
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification0
Improving Short Text Classification With Augmented Data Using GPT-30
Many-Class Text Classification with Matching0
Prompt Tuning for Discriminative Pre-trained Language ModelsCode1
Conditional Supervised Contrastive Learning for Fair Text ClassificationCode0
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass0
Argumentative Explanations for Pattern-Based Text Classifiers0
Set-based Meta-Interpolation for Few-Task Meta-Learning0
Progressive Class Semantic Matching for Semi-supervised Text ClassificationCode0
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot LearnersCode0
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks0
TiBERT: Tibetan Pre-trained Language Model0
Interlock-Free Multi-Aspect Rationalization for Text Classification0
Weakly Supervised Text Classification using Supervision Signals from a Language ModelCode1
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingCode1
Quantum Self-Attention Neural Networks for Text ClassificationCode1
Towards Unified Prompt Tuning for Few-shot Text Classification0
Building for Tomorrow: Assessing the Temporal Persistence of Text ClassifiersCode0
UL2: Unifying Language Learning ParadigmsCode1
Sibylvariant Transformations for Robust Text ClassificationCode0
A Simple Yet Efficient Method for Adversarial Word-Substitute Attack0
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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