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 76100 of 171 papers

TitleStatusHype
Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation0
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN0
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification0
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification0
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification0
Exploring space efficiency in a tree-based linear model for extreme multi-label classification0
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation0
Extreme Multi-label Text Classification with Pseudo Label Descriptions0
Extreme Multi-label Text Classification with Multi-layer Experts0
Extreme Zero-Shot Learning for Extreme Text Classification0
F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks0
Generalized Zero-shot ICD Coding0
Initializing neural networks for hierarchical multi-label text classification0
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification0
KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification0
KeNet:Knowledge-enhanced Doc-Label Attention Network for Multi-label text classification0
Khmer Text Classification Using Word Embedding and Neural Networks0
Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification0
Label prompt for multi-label text classification0
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification0
Large Language Models for Patient Comments Multi-Label Classification0
Large-scale Multi-label Text Classification - Revisiting Neural Networks0
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
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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