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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 101–150 of 171 papers

TitleStatusHype
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions—0
Data-Efficient Pretraining via Contrastive Self-Supervision—0
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification—0
Modeling label correlations implicitly through latent label encodings for multi-label text classification—0
MUCIC at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using N-grams and Multilingual Sentence Encoders—0
Multi-Aspect co-Attentional Collaborative Filtering for Extreme Multi-label Text Classification—0
Multi-Label Text Classification by Graph Neural Network with Mixing Operations—0
Multi-label Text Classification using GloVe and Neural Network Models—0
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit—0
On Evaluation and Improvement of Tail Label Performance for Multi-label Text Classification—0
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification—0
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification—0
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification—0
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour—0
Recent Advances in Hierarchical Multi-label Text Classification: A Survey—0
Re-evaluating Extreme Multi-label Text Classification Methods in Tail Label Prediction—0
An Effective Deployment of Contrastive Learning in Multi-label Text Classification—0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification—0
Retrieval-augmented Multi-label Text Classification—0
Self-supervised Contrastive Zero to Few-shot Learning from Small, Long-tailed Text data—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
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language—0
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names—0
Multi-label Relation Modeling in Facial Action Units Detection—0
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels—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
Semantic-Unit-Based Dilated Convolution for Multi-Label Text ClassificationCode0
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in HindiCode0
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streamsCode0
Multi-relation Message Passing for Multi-label Text ClassificationCode0
Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive LearningCode0
NLTK: The Natural Language ToolkitCode0
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy ReasoningCode0
Small-Text: Active Learning for Text Classification in PythonCode0
I-AID: Identifying Actionable Information from Disaster-related TweetsCode0
Deep Learning Based Multi-Label Text Classification of UNGA ResolutionsCode0
Investigating Capsule Networks with Dynamic Routing for Text ClassificationCode0
Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same MedalCode0
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text ClassificationCode0
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT ModelCode0
Predicting Job Titles from Job Descriptions with Multi-label Text ClassificationCode0
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text ClassificationCode0
Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding SpecificitiesCode0
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text ClassificationCode0
Label-Specific Document Representation for Multi-Label Text ClassificationCode0
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AICode0
Label-Wise Document Pre-Training for Multi-Label Text ClassificationCode0
LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural NetworkCode0
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based ModelsCode0
Large Scale Legal Text Classification Using Transformer ModelsCode0
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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