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Abstractive Text Summarization Method Incorporating Convolutional Shrinkage Gating

Driven by deep learning techniques, Sequence to Sequence(Seq2Seq) model, based on an encoder-decoder architecture combined with an attention mechanism, is widely utilized in text summarization research, particularly for abstractive text summarization tasks. Remarkable results are achieved by this mo...

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Hovedforfatter: Chenmin GAN, Hong TANG, Haolan YANG, Xiaojie LIU, Jie LIU
Format: Artigo
Sprog:Inglês
Udgivet: Editorial Office of Computer Engineering 2024-02-01
Serier:Jisuanji gongcheng
Fag:
abstractive text summarization|sequence to sequence(seq2seq) model|transformer model|bert encoder|convolutional shrinkage gating unit|decoder
Online adgang:https://www.ecice06.com/fileup/1000-3428/PDF/20240211.pdf
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