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...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Editorial Office of Computer Engineering
2024-02-01
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| Rangatū: | Jisuanji gongcheng |
| Ngā marau: | |
| Urunga tuihono: | https://www.ecice06.com/fileup/1000-3428/PDF/20240211.pdf |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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