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1. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. READ MORE
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