SOTAVerified

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

Showing 101125 of 171 papers

TitleStatusHype
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification0
Retrieval-augmented Multi-label Text Classification0
Large Language Models for Patient Comments Multi-Label Classification0
A Debiased Nearest Neighbors Framework for Multi-Label Text Classification0
Large-scale Multi-label Text Classification - Revisiting Neural Networks0
BdLAN:BERTdoc Label Attention Networks for Multi-label text classification0
Learning label-label correlations in Extreme Multi-label Classification via Label Features0
CinPatent: Datasets for Patent Classification0
LegalTurk Optimized BERT for Multi-Label Text Classification and NER0
HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification0
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions0
Data-Efficient Pretraining via Contrastive Self-Supervision0
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data0
Self-supervised Contrastive Zero to Few-shot Learning from Small, Long-tailed Text data0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference0
An Ensemble Learning Based Approach to Multi-label Power Text Classification for Fault-type Recognition0
Active learning for medical code assignment0
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts0
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification0
生成模型在层次结构极限多标签文本分类中的应用(Generation Model for Hierarchical Extreme Multi-label Text Classification)0
Multi-label Relation Modeling in Facial Action Units Detection0
Modeling label correlations implicitly through latent label encodings for multi-label text classification0
MUCIC at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using N-grams and Multilingual Sentence Encoders0
Multi-Aspect co-Attentional Collaborative Filtering for Extreme Multi-label Text Classification0
Show:102550
← PrevPage 5 of 7Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TTD (w/ fine-tuning)Precision88.3Unverified
2TTD (w/o fine-tuning)Precision82.9Unverified
3Qwen-72BPrecision69.3Unverified
4NLTKPrecision59.8Unverified
5Vicuna-33BPrecision52.7Unverified
6Vicuna-7BPrecision44.1Unverified
#ModelMetricClaimedVerifiedStatus
1CB-NTRMicro-F190.74Unverified
2NTR-FLMicro-F190.7Unverified
3DBMicro-F190.62Unverified
4MAGNETMicro-F189.9Unverified
5CNLEMicro-F189.9Unverified
6VLAWEMicro-F189.3Unverified
#ModelMetricClaimedVerifiedStatus
1LSANP@185.28Unverified
2LAHAP@184.48Unverified
3LW-PTMicro F172.8Unverified
4CNLEMicro F171.7Unverified
5MAGNETF169.6Unverified
#ModelMetricClaimedVerifiedStatus
1TagBERTF1-score46Unverified
2TagCNNF1-score45.3Unverified
3TagMulRecF1-score36.4Unverified
4EnTagRecF1-score36Unverified
5FastTagRecF1-score33.2Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.88Unverified
2SVMAverage F10.78Unverified
3NBAverage F10.63Unverified
#ModelMetricClaimedVerifiedStatus
1bert-baseP@568.7Unverified
2NLP-CapP@552.83Unverified
3LAHAP@550.71Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89Unverified
2SVMAverage F10.66Unverified
3NBAverage F10.38Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89Unverified
2SVMAverage F10.82Unverified
3NBAverage F10.51Unverified
#ModelMetricClaimedVerifiedStatus
1HLANAUC0.92Unverified
2Feed-forward NNPrecision0.25Unverified
#ModelMetricClaimedVerifiedStatus
1D2SBERT using Sequence AttentionMicro-F168.56Unverified
2HLANMicro-F164.1Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@194.87Unverified
#ModelMetricClaimedVerifiedStatus
1Bert1:1 Accuracy0.8Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@154.38Unverified
#ModelMetricClaimedVerifiedStatus
1DECAFPrecision@138.4Unverified
#ModelMetricClaimedVerifiedStatus
1ECLAREPrecision@140.74Unverified
#ModelMetricClaimedVerifiedStatus
1HiddeNMacro-F147.3Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F188.5Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F156.8Unverified
#ModelMetricClaimedVerifiedStatus
1BERTF166.83Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@184.18Unverified