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Multi-Label Text Classification

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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."

논문

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Multi-Label Text Classification

논문

KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification

QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification

Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text

Retrieval-augmented Encoders for Extreme Multi-label Text Classification

Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same Medal

A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data

Large Language Models for Patient Comments Multi-Label Classification

Don't Just Pay Attention, PLANT It: Transfer L2R Models to Fine-tune Attention in Extreme Multi-Label Text Classification

A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference

Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning

Exploring space efficiency in a tree-based linear model for extreme multi-label classification

A Debiased Nearest Neighbors Framework for Multi-Label Text Classification

A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts

Open-world Multi-label Text Classification with Extremely Weak Supervision

LegalTurk Optimized BERT for Multi-Label Text Classification and NER

ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks

Learning label-label correlations in Extreme Multi-label Classification via Label Features

Empowering Interdisciplinary Research with BERT-Based Models: An Approach Through SciBERT-CNN with Topic Modeling

Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification

TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias

KeNet:Knowledge-enhanced Doc-Label Attention Network for Multi-label text classification

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach

Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels

Multi-label Text Classification using GloVe and Neural Network Models

Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities

Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification

Qwen Technical Report

Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification

Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation

MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification

Recent Advances in Hierarchical Multi-label Text Classification: A Survey

DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce