RCV1
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ID: rcv1
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Hierarchical Transfer Learning for Multi-label Text Classification
AbstractMulti-Label Hierarchical Text Classification (MLHTC) is the task of categorizing documents into one or more topics organized in an hierarchical taxonomy. MLHTC can be formulated by combining multiple binary classification …...
Inducing Document Structure for Aspect-based Summarization
AbstractAutomatic summarization is typically treated as a 1-to-1 mapping from document to summary. Documents such as news articles, however, are structured and often cover multiple topics or aspects; and readers …...