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 101–125 of 171 papers

TitleStatusHype
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer ModelsCode0
Extreme Multi-label Text Classification with Multi-layer Experts—0
Extreme Multi-label Text Classification with Pseudo Label Descriptions—0
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations—0
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification—0
Multi-Label Text Classification by Graph Neural Network with Mixing Operations—0
Re-evaluating Extreme Multi-label Text Classification Methods in Tail Label Prediction—0
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification—0
Modeling label correlations implicitly through latent label encodings for multi-label text classification—0
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text ClassificationCode0
A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection—0
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification—0
Small-Text: Active Learning for Text Classification in Python—0
Label prompt for multi-label text classification—0
On Evaluation and Improvement of Tail Label Performance for Multi-label Text Classification—0
Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence AttentionCode0
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names—0
BdLAN:BERTdoc Label Attention Networks for Multi-label text classification—0
Active learning for medical code assignment—0
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy ReasoningCode0
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification—0
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in HindiCode0
Hostility Detection and Covid-19 Fake News Detection in Social Media—0
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification—0
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TTD (w/ fine-tuning)Precision88.3—Unverified
2TTD (w/o fine-tuning)Precision82.9—Unverified
3Qwen-72BPrecision69.3—Unverified
4NLTKPrecision59.8—Unverified
5Vicuna-33BPrecision52.7—Unverified
6Vicuna-7BPrecision44.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CB-NTRMicro-F190.74—Unverified
2NTR-FLMicro-F190.7—Unverified
3DBMicro-F190.62—Unverified
4MAGNETMicro-F189.9—Unverified
5CNLEMicro-F189.9—Unverified
6VLAWEMicro-F189.3—Unverified
#ModelMetricClaimedVerifiedStatus
1LSANP@185.28—Unverified
2LAHAP@184.48—Unverified
3LW-PTMicro F172.8—Unverified
4CNLEMicro F171.7—Unverified
5MAGNETF169.6—Unverified
#ModelMetricClaimedVerifiedStatus
1TagBERTF1-score46—Unverified
2TagCNNF1-score45.3—Unverified
3TagMulRecF1-score36.4—Unverified
4EnTagRecF1-score36—Unverified
5FastTagRecF1-score33.2—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.88—Unverified
2SVMAverage F10.78—Unverified
3NBAverage F10.63—Unverified
#ModelMetricClaimedVerifiedStatus
1bert-baseP@568.7—Unverified
2NLP-CapP@552.83—Unverified
3LAHAP@550.71—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89—Unverified
2SVMAverage F10.66—Unverified
3NBAverage F10.38—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostAverage F10.89—Unverified
2SVMAverage F10.82—Unverified
3NBAverage F10.51—Unverified
#ModelMetricClaimedVerifiedStatus
1HLANAUC0.92—Unverified
2Feed-forward NNPrecision0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1D2SBERT using Sequence AttentionMicro-F168.56—Unverified
2HLANMicro-F164.1—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@194.87—Unverified
#ModelMetricClaimedVerifiedStatus
1Bert1:1 Accuracy0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@154.38—Unverified
#ModelMetricClaimedVerifiedStatus
1DECAFPrecision@138.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ECLAREPrecision@140.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HiddeNMacro-F147.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F188.5—Unverified
#ModelMetricClaimedVerifiedStatus
1MAGNETMicro-F156.8—Unverified
#ModelMetricClaimedVerifiedStatus
1BERTF166.83—Unverified
#ModelMetricClaimedVerifiedStatus
1LAHAP@184.18—Unverified