Exploiting Multi-layer Interactive Attention for Abstractive Text Summarization

Exploiting Multi-layer Interactive Attention for Abstractive Text Summarization

Attention-based encoding and decoding models have been widely used in text abstracts, machine translation and other sequence-to-sequence tasks. In deep learning framework, multi-layer neural network can obtain different feature representations of input data. Therefore, in conventional encoding and d...

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Bibliographic Details
Main Author: HUANG Yuxin, YU Zhengtao, XIANG Yan, GAO Shengxiang, GUO Junjun
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-10-01
Series:Jisuanji kexue yu tansuo
Subjects:
text summarization
encoding and decoding model
multi-layer interactive attention
variational infor-mation bottleneck
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2402.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2402.shtml

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