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Cross-Domain Text Classification

Learning an accurate model for the new unlabeled target domain given labeled data from multiple source domains where all domains have (possibly) different label sets. (Source: https://www.aclweb.org/anthology/P16-1155.pdf)

Papers

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Showing 1–14 of 14 papers

TitleStatusHype
Hierarchical Attention Transfer Network for Cross-Domain Sentiment ClassificationCode0
Cross-Domain Labeled LDA for Cross-Domain Text ClassificationCode0
Multinomial Adversarial Networks for Multi-Domain Text ClassificationCode0
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired ClassifiersCode0
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text ClassificationCode0
Depth F_1: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic GeneralizabilityCode0
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive LearningCode0
Unsupervised Energy-based Adversarial Domain Adaptation for Cross-domain Text Classification—0
An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification—0
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification—0
Cross-domain Text Classification with Multiple Domains and Disparate Label Sets—0
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation—0
Transductive Learning with String Kernels for Cross-Domain Text Classification—0
A New cross-domain strategy based XAI models for fake news detection—0
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