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 10011050 of 3635 papers

TitleStatusHype
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text ClassificationCode0
Knowledge Distillation Label Smoothing: Fact or Fallacy?0
Confidence-Aware Calibration and Scoring Functions for Curriculum LearningCode0
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningCode1
SLCNN: Sentence-Level Convolutional Neural Network for Text Classification0
Predicting Sentence-Level Factuality of News and Bias of Media OutletsCode1
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning0
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained DiffusionCode2
SPEC5G: A Dataset for 5G Cellular Network Protocol AnalysisCode1
Rationalization for Explainable NLP: A Survey0
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)Code0
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation0
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks0
TEDB System Description to a Shared Task on Euphemism Detection 2022Code0
Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM0
Towards Answering Climate Questionnaires from Unstructured Climate ReportsCode0
Active Learning for Abstractive Text SummarizationCode0
Relevance Classification of Flood-related Twitter Posts via Multiple Transformers0
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?Code0
Distant Reading of the German Coalition Deal: Recognizing Policy Positions with BERT-based Text Classification0
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification0
Learning to Detect Noisy Labels Using Model-Based FeaturesCode1
A Marker-based Neural Network System for Extracting Social Determinants of Health0
CinPatent: Datasets for Patent Classification0
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media0
Text classification in shipping industry using unsupervised models and Transformer based supervised models0
A Twitter BERT Approach for Offensive Language Detection in Marathi0
Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
PromptBoosting: Black-Box Text Classification with Ten Forward PassesCode1
Less is More: Parameter-Free Text Classification with Gzip0
Estimating the Adversarial Robustness of Attributions in Text with Transformers0
Azimuth: Systematic Error Analysis for Text ClassificationCode0
Improve Text Classification Accuracy with Intent Information0
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
The Hateful Memes Challenge Next Move0
CNO-LSTM: A Chaotic Neural Oscillatory Long Short-Term Memory Model for Text Classification0
Earthquake Impact Analysis Based on Text Mining and Social Media Analytics0
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based ModelsCode0
Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback0
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging0
FastClass: A Time-Efficient Approach to Weakly-Supervised Text ClassificationCode0
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks0
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification0
Moto: Enhancing Embedding with Multiple Joint Factors for Chinese Text Classification0
DigiCall: A Benchmark for Measuring the Maturity of Digital Strategy through Company Earning CallsCode0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain TasksCode0
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration0
MiLMo:Minority Multilingual Pre-trained Language Model0
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