An adaptive fusion-based data augmentation method for abstract dialogue summarization
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DOI: 10.7717/peerj-cs.2845
Abstract: The dialogue summarization is necessary for information retrieval, and the training of abstract dialogue summarization models heavily rely on large amounts of labeled data. However, manual summarization of long dialogue is labor-costing and time-consuming. To… read more here.
Keywords: method; summarization; dialogue summarization; abstract dialogue ... See more keywords