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 151–171 of 171 papers

Title	Date	Tasks	Status
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification	Oct 29, 2022	Extreme Multi-Label ClassificationMulti-Label Classification	CodeCode Available
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	Jun 9, 2019	ClassificationGeneral Classification	CodeCode Available
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text	Feb 18, 2025	Authorship AttributionLanguage Modeling	CodeCode Available
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation	Feb 23, 2019	Multi-Label Text ClassificationSentiment Analysis	CodeCode Available
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities	Oct 23, 2023	Decision MakingMulti-Label Classification	CodeCode Available
Hierarchical Multi-label Classification of Text with Capsule Networks	Jul 1, 2019	AttributeClassification	CodeCode Available
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification	May 1, 2017	General ClassificationMulti Label Text Classification	CodeCode Available
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes	Feb 7, 2018	BIG-bench Machine LearningDeep Learning	CodeCode Available
GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification	Jan 10, 2022	4kMulti Label Text Classification	CodeCode Available
Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification	Jul 11, 2023	Contrastive LearningMulti Label Text Classification	CodeCode Available
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces	Oct 1, 2018	General ClassificationMulti-Label Classification	CodeCode Available
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification	Oct 1, 2021	Multi Label Text ClassificationMulti-Label Text Classification	CodeCode Available
Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention	Jun 15, 2021	Medical Code PredictionMedical Diagnosis	CodeCode Available
Extreme Zero-Shot Learning for Extreme Text Classification	Dec 16, 2021	ClassificationMulti Label Text Classification	CodeCode Available
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models	Nov 28, 2021	ClassificationCross-Lingual Transfer	CodeCode Available
MIMIC-III, a freely accessible critical care database	May 24, 2016	Blood pressure estimationData Integration	CodeCode Available
ML-Net: multi-label classification of biomedical texts with deep neural networks	Nov 13, 2018	BenchmarkingClassification	CodeCode Available
Taming Pretrained Transformers for Extreme Multi-label Text Classification	May 7, 2019	Extreme Multi-Label ClassificationGeneral Classification	CodeCode Available
RMDL: Random Multimodel Deep Learning for Classification	May 3, 2018	ClassificationDeep Learning	CodeCode Available
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications	Jun 6, 2019	General ClassificationMulti-Label Text Classification	CodeCode Available
Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter	Aug 1, 2019	Abuse DetectionAbusive Language	CodeCode Available

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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