Generative Text Summary Based on Enhanced Semantic Attention and Gain-Benefit Gate

Generative Text Summary Based on Enhanced Semantic Attention and Gain-Benefit Gate

Generative text summary is an important branch of natural language processing. Aiming at the problems of insufficient use of semantic information, insufficient summary precision and the problem of semantics-loss in the current generated text summary method, an enhanced semantic model is proposed bas...

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Bibliographic Details
Main Authors: Jianli Ding, Yang Li, Huiyu Ni, Zhengquan Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Generative text summarization
encoder-decoder
enhanced semantic attention
empirical distribution
improved word feature
Online Access:https://ieeexplore.ieee.org/document/9091541/

Internet

https://ieeexplore.ieee.org/document/9091541/

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