A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification

Many text classification tasks are domain-dependent, and various domain adaptation approaches have been proposed to predict unlabeled data in a new domain. Domain-adversarial neural networks (DANN) and their variants have been used widely recently and have achieved promising results for this problem... (read more)

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