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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–125 of 171 papers

Title	Date	Tasks	Status	Hype
Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention	Jun 15, 2021	Medical Code PredictionMedical Diagnosis	CodeCode Available	0
Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China	Jun 14, 2021	Multi Label Text ClassificationMulti-Label Text Classification	CodeCode Available	1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning	Jun 6, 2021	DiversityMulti Label Text Classification	CodeCode Available	1
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names	Jun 1, 2021	ClassificationMulti Label Text Classification	—Unverified	0
BdLAN:BERTdoc Label Attention Networks for Multi-label text classification	May 16, 2021	ClassificationInformation Retrieval	—Unverified	0
Active learning for medical code assignment	Apr 12, 2021	Active LearningDecision Making	—Unverified	0
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning	Apr 4, 2021	BenchmarkingMulti Label Text Classification	CodeCode Available	0
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification	Mar 26, 2021	ClassificationGeneral Classification	—Unverified	0
MATCH: Metadata-Aware Text Classification in A Large Hierarchy	Feb 15, 2021	ClassificationGeneral Classification	CodeCode Available	1
Towards Robustness to Label Noise in Text Classification via Noise Modeling	Jan 27, 2021	ClassificationGeneral Classification	CodeCode Available	1
Does Head Label Help for Long-Tailed Multi-Label Text Classification	Jan 24, 2021	General ClassificationMulti Label Text Classification	CodeCode Available	1
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi	Jan 20, 2021	Multi-class ClassificationMulti-Label Text Classification	CodeCode Available	0
Hostility Detection and Covid-19 Fake News Detection in Social Media	Jan 15, 2021	Abusive LanguageFake News Detection	—Unverified	0
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification	Jan 13, 2021	General ClassificationHierarchical Multi-label Classification	CodeCode Available	1
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification	Jan 9, 2021	General ClassificationMulti Label Text Classification	CodeCode Available	1
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification	Dec 10, 2020	ClusteringGeneral Classification	—Unverified	0
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions	Nov 1, 2020	ClassificationMulti-Label Classification	—Unverified	0
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification	Nov 1, 2020	General ClassificationMulti Label Text Classification	—Unverified	0
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation	Oct 29, 2020	DiagnosticMedical Code Prediction	CodeCode Available	1
Large Scale Legal Text Classification Using Transformer Models	Oct 24, 2020	ClassificationGeneral Classification	CodeCode Available	0
Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique	Oct 10, 2020	Multi-Label Text ClassificationTAG	CodeCode Available	1
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels	Oct 4, 2020	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	CodeCode Available	1
Data-Efficient Pretraining via Contrastive Self-Supervision	Oct 2, 2020	FairnessFew-Shot Learning	—Unverified	0
Imbalanced Chinese Multi-label Text Classification Based on Alternating Attention	Oct 1, 2020	ClassificationMulti Label Text Classification	—Unverified	0
Self-supervised Contrastive Zero to Few-shot Learning from Small, Long-tailed Text data	Sep 28, 2020	Few-Shot LearningMulti Label Text Classification	—Unverified	0

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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