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Cross-Domain Text Classification
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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)
논문
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TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
A New cross-domain strategy based XAI models for fake news detection
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
Transductive Learning with String Kernels for Cross-Domain Text Classification
Cross-Domain Labeled LDA for Cross-Domain Text Classification
Multinomial Adversarial Networks for Multi-Domain Text Classification
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