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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Autor principal:	Chenmin GAN, Hong TANG, Haolan YANG, Xiaojie LIU, Jie LIU
Format:	Artigo
Idioma:	Inglês
Publicat:	Editorial Office of Computer Engineering 2024-02-01
Col·lecció:	Jisuanji gongcheng
Matèries:	abstractive text summarization|sequence to sequence(seq2seq) model|transformer model|bert encoder|convolutional shrinkage gating unit|decoder
Accés en línia:	https://www.ecice06.com/fileup/1000-3428/PDF/20240211.pdf
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