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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

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Showing 51–100 of 171 papers

TitleStatusHype
Learning label-label correlations in Extreme Multi-label Classification via Label Features—0
Empowering Interdisciplinary Research with BERT-Based Models: An Approach Through SciBERT-CNN with Topic Modeling—0
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification—0
KeNet:Knowledge-enhanced Doc-Label Attention Network for Multi-label text classification—0
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification—0
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification—0
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels—0
Multi-label Text Classification using GloVe and Neural Network Models—0
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot CapabilitiesCode0
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality—0
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text ClassificationCode0
Recent Advances in Hierarchical Multi-label Text Classification: A Survey—0
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce—0
Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text ClassificationCode0
Imbalanced Multi-label Classification for Business-related Text with Moderately Large Label Spaces—0
Retrieval-augmented Multi-label Text Classification—0
F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks—0
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 Problems—0
Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification—0
Adopting the Multi-answer Questioning Task with an Auxiliary Metric for Extreme Multi-label Text Classification Utilizing the Label Hierarchy—0
CinPatent: Datasets for Patent Classification—0
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based ModelsCode0
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching—0
An Effective Deployment of Contrastive Learning in Multi-label Text Classification—0
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification—0
Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation—0
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label ClassificationCode0
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification—0
A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging—0
生成模型在层次结构极限多标签文本分类中的应用(Generation Model for Hierarchical Extreme Multi-label Text Classification)—0
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN—0
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language—0
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection—0
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification—0
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification—0
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour—0
Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification—0
HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification—0
An Ensemble Learning Based Approach to Multi-label Power Text Classification for Fault-type Recognition—0
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification—0
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions—0
Multi-relation Message Passing for Multi-label Text ClassificationCode0
Extreme Zero-Shot Learning for Extreme Text Classification—0
HCL-MTC Hierarchical Contrastive Learning for Multi-label Text Classification—0
Multi-Aspect co-Attentional Collaborative Filtering for Extreme Multi-label Text Classification—0
GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classificationCode0
Predicting Job Titles from Job Descriptions with Multi-label Text ClassificationCode0
Extreme Zero-Shot Learning for Extreme Text Classification—0
Khmer Text Classification Using Word Embedding and Neural Networks—0
MUCIC at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using N-grams and Multilingual Sentence Encoders—0
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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