Algorithm Research & Explore
|
2657-2661

Graph model summary extraction algorithm based on BERT bidirectional pretraining

Fang Pinga
Xu Ningb
a. School of Computer Science & Technology, b. School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China

Abstract

In recent years, most of the automatic summary algorithms are about supervised learning mechanisms, which don't take into account the cumbersomeness of artificial markers, can't express semantic information more fully in context when the sentence is embedded, ignoring the overall information of the text. To solve the above problem, this paper proposed an extractive summary model based on the improved BERT bidirectional pre-trained language model combined with the graph sorting algorithm. According to the position of the sentence and the context information, this model mapped the sentence as a structured sentence vector, and combined with the graph sorting algorithm to select the sentence with the highest impact to form a temporary summary. In order to avoid obtaining a high degree of redundancy of the summary, it eliminated the redundancy of the temporary summary. The experimental results show that this model can improve the score of the summary on the common data set CNN/Daily Maily, and the experiment proves that the proposed method is more effective than other improved graph-based sort summary extraction algorithms.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0034
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2657-2661
Serial Number: 1001-3695(2021)09-017-2657-05

Publish History

[2021-09-05] Printed Article

Cite This Article

方萍, 徐宁. 基于BERT双向预训练的图模型摘要抽取算法 [J]. 计算机应用研究, 2021, 38 (9): 2657-2661. (Fang Ping, Xu Ning. Graph model summary extraction algorithm based on BERT bidirectional pretraining [J]. Application Research of Computers, 2021, 38 (9): 2657-2661. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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