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Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding

Lourentzou, IsminiUniversity of Illinois at Urbana-Champaign2020

Deep Learning, a growing sub-field of machine learning, has been applied with tremendous success in a variety of domains, opening opportunities for achieving human level performance in many applications. However, Deep Learning methods depend on large quantities of data with millions of annotated …

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