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
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot CapabilitiesCode0
Towards Scalable and Reliable Capsule Networks for Challenging NLP ApplicationsCode0
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streamsCode0
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level RepresentationCode0
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer ModelsCode0
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection0
Hostility Detection and Covid-19 Fake News Detection in Social Media0
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification0
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour0
Imbalanced Chinese Multi-label Text Classification Based on Alternating Attention0
Imbalanced Multi-label Classification for Business-related Text with Moderately Large Label Spaces0
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence0
Recent Advances in Hierarchical Multi-label Text Classification: A Survey0
Initializing neural networks for hierarchical multi-label text classification0
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks0
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification0
Re-evaluating Extreme Multi-label Text Classification Methods in Tail Label Prediction0
BERT-Flow-VAE: A Weakly-supervised Model for 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
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names0
Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification0
Label prompt for multi-label text classification0
An Effective Deployment of Contrastive Learning in Multi-label Text Classification0
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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