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 2650 of 171 papers

TitleStatusHype
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label ClassificationCode1
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text ClassificationCode1
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding InitialisationCode1
Tag Recommendation for Online Q&A Communities based on BERT Pre-Training TechniqueCode1
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text ClassificationCode1
Multi-Label Text Classification using Attention-based Graph Neural NetworkCode1
MAGNET: Multi-Label Text Classification using Attention-based Graph Neural NetworkCode1
Large-Scale Multi-Label Text Classification on EU LegislationCode1
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text ClassificationCode1
KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification0
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification0
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on TextCode0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification0
Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same MedalCode0
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data0
Large Language Models for Patient Comments Multi-Label Classification0
Don't Just Pay Attention, PLANT It: Transfer L2R Models to Fine-tune Attention in Extreme Multi-Label Text Classification0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference0
Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive LearningCode0
Exploring space efficiency in a tree-based linear model for extreme multi-label classification0
A Debiased Nearest Neighbors Framework for Multi-Label Text Classification0
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts0
LegalTurk Optimized BERT for Multi-Label Text Classification and NER0
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks0
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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