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    Chapter and Conference Paper

    A Neural Architecture for Multi-label Text Classification

    We propose a novel supervised approach for multi-label text classification, which is based on a neural network architecture consisting of a single encoder and multiple classifier heads. Our method predicts which

    Sam Coope, Yoram Bachrach, Andrej Žukov-Gregorič… in Intelligent Systems and Applications (2019)