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 61–70 of 171 papers

Title	Date	Tasks	Status	Hype
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN	Jul 1, 2022	Deep LearningMulti Label Text Classification	—Unverified	0
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language	Jul 1, 2022	ClassificationEnsemble Learning	—Unverified	0
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification	Jun 1, 2022	Active LearningExtreme Multi-Label Classification	—Unverified	0
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification	May 24, 2022	Multi Label Text ClassificationMulti-Label Text Classification	—Unverified	0
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour	May 5, 2022	ArticlesMulti Label Text Classification	—Unverified	0
Exploiting Global and Local Hierarchies for Hierarchical Text Classification	May 5, 2022	ClassificationMulti Label Text Classification	CodeCode Available	1
Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification	May 1, 2022	Contrastive LearningMulti Label Text Classification	—Unverified	0
HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification	Apr 18, 2022	ClassificationMulti Label Text Classification	—Unverified	0
An Ensemble Learning Based Approach to Multi-label Power Text Classification for Fault-type Recognition	Apr 13, 2022	ClassificationEnsemble Learning	—Unverified	0
Are We Really Making Much Progress in Text Classification? A Comparative Review	Apr 8, 2022	ClassificationDecoder	CodeCode Available	1

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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