Deep Learning for Extreme Multi-label Text Classification


Extreme multi-label text classification (XMTC) refers to the problem of assigning to each document its most relevant subset of class labels from an extremely large label collection, where the number of labels could reach hundreds of thousands or millions. The huge label space raises research challenges such as data sparsity and scalability. Significant… (More)
DOI: 10.1145/3077136.3080834


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