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 51–75 of 171 papers

TitleStatusHype
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification—0
Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification—0
Exploring space efficiency in a tree-based linear model for extreme multi-label classification—0
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation—0
Extreme Multi-label Text Classification with Pseudo Label Descriptions—0
Extreme Multi-label Text Classification with Multi-layer Experts—0
Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation—0
Extreme Zero-Shot Learning for Extreme Text Classification—0
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification—0
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions—0
EMR Coding with Semi-Parametric Multi-Head Matching Networks—0
Generalized Zero-shot ICD Coding—0
Empowering Interdisciplinary Research with BERT-Based Models: An Approach Through SciBERT-CNN with Topic Modeling—0
Joint Embedding of Words and Category Labels for Hierarchical Multi-label Text Classification—0
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality—0
Don't Just Pay Attention, PLANT It: Transfer L2R Models to Fine-tune Attention in Extreme Multi-Label Text Classification—0
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data—0
Aggression Identification and Multi Lingual Word Embeddings—0
HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification—0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference—0
DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce—0
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection—0
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations—0
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification—0
A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection—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