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Enriching and Controlling Global Semantics for Text Summarization.

EMNLP, pp.9443-9456, (2021)

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Recently, Transformer-based models have been proven effective in the abstractive summarization task by creating fluent and informative summaries. Nevertheless, these models still suffer from the short-range dependency problem, causing them to produce summaries that miss the key points of document. In this paper, we attempt to address th...More

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Anh Tuan Luu
Anh Tuan Luu
Truc Lu
Truc Lu
Tho Quan
Tho Quan
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