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 17011750 of 3635 papers

TitleStatusHype
Curriculum Discovery through an Encompassing Curriculum Learning Framework0
Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank0
Resolving label uncertainty with implicit generative models0
Modeling label correlations implicitly through latent label encodings for multi-label text classification0
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?0
RAFT: A Real-World Few-Shot Text Classification BenchmarkCode1
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets0
Small data problems in political research: a critical replication study0
Challenging the Semi-Supervised VAE Framework for Text ClassificationCode0
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic FeaturesCode1
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data ProgrammingCode0
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data0
BFClass: A Backdoor-free Text Classification Framework0
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering0
Towards Overcoming Practical Obstacles to Deploying Deep Active Learning0
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning0
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text ClassificationCode0
Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification0
Adversarial Scrubbing of Demographic Information for Text ClassificationCode0
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in MixupCode0
The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification0
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification0
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder0
Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 20200
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Traffic Event Detection as a Slot Filling Problem0
Byzantine-robust Federated Learning through Collaborative Malicious Gradient FilteringCode1
FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution NetworksCode1
Good-Enough Example Extrapolation0
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text ClassificationCode1
PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument Extraction0
Balancing Methods for Multi-label Text Classification with Long-Tailed Class DistributionCode1
Knowledge-Aware Meta-learning for Low-Resource Text ClassificationCode1
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text ClassificationCode0
A Strong Baseline for Query Efficient Attacks in a Black Box SettingCode1
Active learning for reducing labeling effort in text classification tasksCode0
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling0
Dual-State Capsule Networks for Text Classification0
Beyond the Tip of the Iceberg: Assessing Coherence of Text ClassifiersCode1
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text ClassificationCode0
Cartography Active LearningCode1
Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach0
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLPCode1
Automated Robustness with Adversarial Training as a Post-Processing Step0
Enhancing Natural Language Representation with Large-Scale Out-of-Domain CommonsenseCode0
ALLWAS: Active Learning on Language models in WASserstein space0
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training0
Text Classification for Predicting Multi-level Product Categories0
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
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