SOTAVerified

Multi-Label Text Classification

According to Wikipedia "In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification problem where multiple labels may be assigned to each instance. Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of more than two classes; in the multi-label problem there is no constraint on how many of the classes the instance can be assigned to."

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 171 papers

TitleStatusHype
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer ModelsCode0
Extreme Multi-label Text Classification with Multi-layer Experts—0
Extreme Multi-label Text Classification with Pseudo Label Descriptions—0
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations—0
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification—0
Multi-Label Text Classification by Graph Neural Network with Mixing Operations—0
Re-evaluating Extreme Multi-label Text Classification Methods in Tail Label Prediction—0
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text ClassificationCode0
Modeling label correlations implicitly through latent label encodings for multi-label text classification—0
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text ClassificationCode0
A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection—0
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification—0
Small-Text: Active Learning for Text Classification in PythonCode0
Label prompt for multi-label text classification—0
On Evaluation and Improvement of Tail Label Performance for Multi-label Text Classification—0
Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence AttentionCode0
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names—0
BdLAN:BERTdoc Label Attention Networks for Multi-label text classification—0
Active learning for medical code assignment—0
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy ReasoningCode0
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification—0
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in HindiCode0
Hostility Detection and Covid-19 Fake News Detection in Social Media—0
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification—0
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification—0
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions—0
Large Scale Legal Text Classification Using Transformer ModelsCode0
Data-Efficient Pretraining via Contrastive Self-Supervision—0
Imbalanced Chinese Multi-label Text Classification Based on Alternating Attention—0
Self-supervised Contrastive Zero to Few-shot Learning from Small, Long-tailed Text data—0
LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural NetworkCode0
Label-Wise Document Pre-Training for Multi-Label Text ClassificationCode0
I-AID: Identifying Actionable Information from Disaster-related TweetsCode0
Hierarchy-Aware Global Model for Hierarchical Text Classification—0
Joint Embedding of Words and Category Labels for Hierarchical Multi-label Text Classification—0
Deep Learning Based Multi-Label Text Classification of UNGA ResolutionsCode0
Multi-label Relation Modeling in Facial Action Units Detection—0
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification—0
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AICode0
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streamsCode0
Label-Specific Document Representation for Multi-Label Text ClassificationCode0
Generalized Zero-shot ICD Coding—0
Multi-label Hate Speech and Abusive Language Detection in Indonesian TwitterCode0
Hierarchical Multi-label Classification of Text with Capsule NetworksCode0
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit—0
Hierarchical Transfer Learning for Multi-label Text Classification—0
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text ClassificationCode0
Towards Scalable and Reliable Capsule Networks for Challenging NLP ApplicationsCode0
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation—0
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text ClassificationCode0
Show:102550
← PrevPage 3 of 4Next →
All datasetsCC3M-TagMaskReuters-21578AAPDFreecodeBVICTOREUR-LexMVICTOR (theme)SVICTOR (theme)MIMIC-IIIMIMIC-III-50Amazon-12KDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TTD (w/ fine-tuning)Precision88.3—Unverified
2TTD (w/o fine-tuning)Precision82.9—Unverified
3Qwen-72BPrecision69.3—Unverified
4NLTKPrecision59.8—Unverified
5Vicuna-33BPrecision52.7—Unverified
6Vicuna-7BPrecision44.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CB-NTRMicro-F190.74—Unverified
2NTR-FLMicro-F190.7—Unverified
3DBMicro-F190.62—Unverified
4MAGNETMicro-F189.9—Unverified
5CNLEMicro-F189.9—Unverified
6VLAWEMicro-F189.3—Unverified
#ModelMetricClaimedVerifiedStatus
1LSANP@185.28—Unverified
2LAHAP@184.48—Unverified
3LW-PTMicro F172.8—Unverified
4CNLEMicro F171.7—Unverified
5MAGNETF169.6—Unverified
#ModelMetricClaimedVerifiedStatus
1TagBERTF1-score46—Unverified
2TagCNNF1-score45.3—Unverified
3TagMulRecF1-score36.4—Unverified
4EnTagRecF1-score36—Unverified
5FastTagRecF1-score33.2—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.88—Unverified
2SVMAverage F10.78—Unverified
3NBAverage F10.63—Unverified
#ModelMetricClaimedVerifiedStatus
1bert-baseP@568.7—Unverified
2NLP-CapP@552.83—Unverified
3LAHAP@550.71—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89—Unverified
2SVMAverage F10.66—Unverified
3NBAverage F10.38—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89—Unverified
2SVMAverage F10.82—Unverified
3NBAverage F10.51—Unverified
#ModelMetricClaimedVerifiedStatus
1HLANAUC0.92—Unverified
2Feed-forward NNPrecision0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1D2SBERT using Sequence AttentionMicro-F168.56—Unverified
2HLANMicro-F164.1—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@194.87—Unverified
#ModelMetricClaimedVerifiedStatus
1Bert1:1 Accuracy0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@154.38—Unverified
#ModelMetricClaimedVerifiedStatus
1DECAFPrecision@138.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ECLAREPrecision@140.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HiddeNMacro-F147.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F188.5—Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F156.8—Unverified
#ModelMetricClaimedVerifiedStatus
1BERTF166.83—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@184.18—Unverified