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 22512300 of 3635 papers

TitleStatusHype
Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research0
Utility-Theoretic Ranking for Semi-Automated Text Classification0
Utilizing Cross-Modal Contrastive Learning to Improve Item Categorization BERT Model0
Utilizing Probase in Open Directory Project-based Text Classification0
Utilizing State-of-the-art Parsers to Diagnose Problems in Treebank Annotation for a Less Resourced Language0
UZH@SMM4H: System Descriptions0
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks0
Variational Autoencoders for Semi-supervised Text Classification0
VCI-LSTM: Vector Choquet Integral-based Long Short-Term Memory0
Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels0
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation0
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation0
Vector of Locally Aggregated Embeddings for Text Representation0
Vector Space Model as Cognitive Space for Text Classification0
VIBE: Topic-Driven Temporal Adaptation for Twitter Classification0
Vi-Mistral-X: Building a Vietnamese Language Model with Advanced Continual Pre-training0
Visual Analytics for Fine-grained Text Classification Models and Datasets0
Visual and Textual Deep Feature Fusion for Document Image Classification0
Visualising Linguistic Evolution in Academic Discourse0
Visual Prompt Tuning for Few-Shot Text Classification0
VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding0
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport0
``Vreselijk mooi!'' (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives.0
VTEX System Description for the NLI 2013 Shared Task0
VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for vulnerability Detection0
Vulnerability of LLMs to Vertically Aligned Text Manipulations0
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation0
Wave Network: An Ultra-Small Language Model0
Weakly-supervised diagnosis identification from Italian discharge letters0
Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals0
Weakly Supervised Text Classification on Free Text Comments in Patient-Reported Outcome Measures0
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping0
Webis: An Ensemble for Twitter Sentiment Detection0
WeDef: Weakly Supervised Backdoor Defense for Text Classification0
Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression0
Weight Squeezing: Reparameterization for Compression and Fast Inference0
Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression0
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels0
What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics0
What Do Patients Say About Their Disease Symptoms? Deep Multilabel Text Classification With Human-in-the-Loop Curation for Automatic Labeling of Patient Self Reports of Problems0
Understanding Language Model Circuits through Knowledge Editing0
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification0
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different0
What makes you change your mind? An empirical investigation in online group decision-making conversations0
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing0
When does deep multi-task learning work for loosely related document classification tasks?0
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications0
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning0
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation0
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?0
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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