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Semi-Supervised Text Classification

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Showing 1–41 of 41 papers

TitleStatusHype
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification—0
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification—0
Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysis—0
Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text ClassificationCode0
Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs—0
Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification—0
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory BankCode0
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text ClassificationCode1
SemiReward: A General Reward Model for Semi-supervised LearningCode1
Rank-Aware Negative Training for Semi-Supervised Text ClassificationCode0
Rethinking Semi-supervised Learning with Language ModelsCode1
DisCo: Distilled Student Models Co-training for Semi-supervised Text MiningCode1
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-TrainingCode1
Progressive Class Semantic Matching for Semi-supervised Text ClassificationCode0
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text ClassificationCode0
Progressive Class Semantic Matching for Semi-supervised Text Classification—0
ME-GCN: Multi-dimensional Edge-Enhanced Graph Convolutional Networks for Semi-supervised Text Classification—0
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification—0
Data Augmentation with Sentence Recombination Method for Semi-supervised Text Classification—0
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification—0
Semi-Supervised Text Classification via Self-PretrainingCode1
FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution NetworksCode1
Semi-Supervised Text Classification with Balanced Deep Representation Distributions—0
A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents—0
Inductive Topic Variational Graph Auto-Encoder for Text Classification—0
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training—0
Consistency Training with Virtual Adversarial Discrete PerturbationCode0
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective FunctionCode1
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder—0
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text ClassificationCode1
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective ResponsesCode1
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media—0
Semi-Supervised Learning with Normalizing FlowsCode0
Variational Pretraining for Semi-supervised Text ClassificationCode1
Adversarial Dropout for Recurrent Neural NetworksCode0
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word EmbeddingsCode0
Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social MediaCode0
Deconvolutional Paragraph Representation LearningCode1
Adversarial Training Methods for Semi-Supervised Text ClassificationCode1
Variational Autoencoders for Semi-supervised Text Classification—0
Learning a Deep Hybrid Model for Semi-Supervised Text Classification—0
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