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	Hype
Taming Pretrained Transformers for Extreme Multi-label Text Classification	May 7, 2019	Extreme Multi-Label ClassificationGeneral Classification	CodeCode Available	0
HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification	Mar 24, 2019	ClassificationGeneral Classification	—Unverified	0
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation	Feb 23, 2019	Multi-Label Text ClassificationSentiment Analysis	CodeCode Available	0
Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities	Jan 29, 2019	Automatic Machine Learning Model SelectionDeep Learning	CodeCode Available	0
ML-Net: multi-label classification of biomedical texts with deep neural networks	Nov 13, 2018	BenchmarkingClassification	CodeCode Available	0
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification	Nov 1, 2018	General ClassificationMulti-Label Text Classification	CodeCode Available	1
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces	Oct 1, 2018	General ClassificationMulti-Label Classification	CodeCode Available	0
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification	Sep 10, 2018	Deep Reinforcement LearningGeneral Classification	—Unverified	0
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification	Aug 26, 2018	ClassificationGeneral Classification	CodeCode Available	0
Aggression Identification and Multi Lingual Word Embeddings	Aug 1, 2018	Aggression IdentificationMulti-Label Text Classification	—Unverified	0
EMR Coding with Semi-Parametric Multi-Head Matching Networks	Jun 1, 2018	Few-Shot LearningGeneral Classification	—Unverified	0
RMDL: Random Multimodel Deep Learning for Classification	May 3, 2018	ClassificationDeep Learning	CodeCode Available	0
Investigating Capsule Networks with Dynamic Routing for Text Classification	Mar 29, 2018	ClassificationGeneral Classification	CodeCode Available	0
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	0
Initializing neural networks for hierarchical multi-label text classification	Aug 1, 2017	ClassificationGeneral Classification	—Unverified	0
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification	May 1, 2017	General ClassificationMulti Label Text Classification	CodeCode Available	0
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence	Jun 1, 2016	General ClassificationMulti-Label Classification	—Unverified	0
MIMIC-III, a freely accessible critical care database	May 24, 2016	Blood pressure estimationData Integration	CodeCode Available	0
Large-scale Multi-label Text Classification - Revisiting Neural Networks	Dec 19, 2013	ClassificationGeneral Classification	—Unverified	0
Global Model for Hierarchical Multi-Label Text Classification	Oct 1, 2013	ClassificationGeneral Classification	—Unverified	0
NLTK: The Natural Language Toolkit	May 17, 2002	Multi-Label Text Classification	CodeCode Available	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