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 151–171 of 171 papers

Title	Date	Tasks	Status
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification	Sep 10, 2018	Deep Reinforcement LearningGeneral Classification	—Unverified
A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection	Sep 1, 2021	Multi Label Text ClassificationMulti-Label Text Classification	—Unverified
F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks	May 21, 2023	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	—Unverified
Generalized Zero-shot ICD Coding	Sep 28, 2019	ClassificationGeneral Classification	—Unverified
Global Model for Hierarchical Multi-Label Text Classification	Oct 1, 2013	ClassificationGeneral Classification	—Unverified
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification	Dec 10, 2020	ClusteringGeneral Classification	—Unverified
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification	Jan 1, 2020	Multi Label Text ClassificationMulti-Label Text Classification	—Unverified
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching	Dec 3, 2022	AI AgentMulti Label Text Classification	—Unverified
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification	Jan 15, 2024	Active LearningMulti Label Text Classification	—Unverified
HCL-MTC Hierarchical Contrastive Learning for Multi-label Text Classification	Jan 16, 2022	ClassificationContrastive Learning	—Unverified
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification	Mar 26, 2021	ClassificationGeneral Classification	—Unverified
HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification	Apr 18, 2022	ClassificationMulti Label Text Classification	—Unverified
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels	Dec 14, 2023	Conformal PredictionMulti Label Text Classification	—Unverified
Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification	May 1, 2022	Contrastive LearningMulti Label Text Classification	—Unverified
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations	Nov 1, 2021	Multi Label Text ClassificationMulti-Label Text Classification	—Unverified
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification	Feb 20, 2025	Computational EfficiencyEnsemble Learning	—Unverified
Adopting the Multi-answer Questioning Task with an Auxiliary Metric for Extreme Multi-label Text Classification Utilizing the Label Hierarchy	Mar 2, 2023	ClassificationExtreme Multi-Label Classification	—Unverified
Hierarchical Transfer Learning for Multi-label Text Classification	Jul 1, 2019	Binary ClassificationClassification	—Unverified
Hierarchy-Aware Global Model for Hierarchical Text Classification	Jul 1, 2020	ClassificationGeneral Classification	—Unverified
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification	Jan 24, 2024	ArticlesLanguage Modeling	—Unverified
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions	Nov 1, 2020	ClassificationMulti-Label Classification	—Unverified

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All datasets CC3M-TagMask Reuters-21578 AAPD Freecode BVICTOR EUR-Lex MVICTOR (theme)SVICTOR (theme)MIMIC-III MIMIC-III-50 Amazon-12K Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TTD (w/ fine-tuning)	Precision	88.3	—	Unverified
2	TTD (w/o fine-tuning)	Precision	82.9	—	Unverified
3	Qwen-72B	Precision	69.3	—	Unverified
4	NLTK	Precision	59.8	—	Unverified
5	Vicuna-33B	Precision	52.7	—	Unverified
6	Vicuna-7B	Precision	44.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CB-NTR	Micro-F1	90.74	—	Unverified
2	NTR-FL	Micro-F1	90.7	—	Unverified
3	DB	Micro-F1	90.62	—	Unverified
4	MAGNET	Micro-F1	89.9	—	Unverified
5	CNLE	Micro-F1	89.9	—	Unverified
6	VLAWE	Micro-F1	89.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSAN	P@1	85.28	—	Unverified
2	LAHA	P@1	84.48	—	Unverified
3	LW-PT	Micro F1	72.8	—	Unverified
4	CNLE	Micro F1	71.7	—	Unverified
5	MAGNET	F1	69.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TagBERT	F1-score	46	—	Unverified
2	TagCNN	F1-score	45.3	—	Unverified
3	TagMulRec	F1-score	36.4	—	Unverified
4	EnTagRec	F1-score	36	—	Unverified
5	FastTagRec	F1-score	33.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XGBoost	Average F1	0.88	—	Unverified
2	SVM	Average F1	0.78	—	Unverified
3	NB	Average F1	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	bert-base	P@5	68.7	—	Unverified
2	NLP-Cap	P@5	52.83	—	Unverified
3	LAHA	P@5	50.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XGBoost	Average F1	0.89	—	Unverified
2	SVM	Average F1	0.66	—	Unverified
3	NB	Average F1	0.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XGBoost	Average F1	0.89	—	Unverified
2	SVM	Average F1	0.82	—	Unverified
3	NB	Average F1	0.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HLAN	AUC	0.92	—	Unverified
2	Feed-forward NN	Precision	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	D2SBERT using Sequence Attention	Micro-F1	68.56	—	Unverified
2	HLAN	Micro-F1	64.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LAHA	P@1	94.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Bert	1:1 Accuracy	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LAHA	P@1	54.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DECAF	Precision@1	38.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ECLARE	Precision@1	40.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HiddeN	Macro-F1	47.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MAGNET	Micro-F1	88.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MAGNET	Micro-F1	56.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT	F1	66.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LAHA	P@1	84.18	—	Unverified