计算机与数字工程2024，Vol.52Issue(4)：1154-1158,5.DOI:10.3969/j.issn.1672-9722.2024.04.034
基于改进指针生成网络的文本摘要
Text Summarization Based on Improved Pointer-Generator Network
杨尚儒 1廖闻剑2
作者信息
- 1. 武汉邮电科学研究院 武汉 430074||南京烽火天地通信科技有限公司 南京 210019
- 2. 南京烽火天地通信科技有限公司 南京 210019
- 折叠
摘要
Abstract
With people receive more and more information every day,it's important to be able to get the information we want in a short period of time,so text summaries have become indispensable.Manually generating abstracts for articles is a time-consum-ing and laborious task,and it becomes necessary to automatically generate abstracts with high readability and fluency.There are many ways to generate abstracts,which are divided into extractive abstracts and generative abstracts.The pointer generation net-work is still a very popular text summarization method because it can effectively solve the problem of unregistered words.In our work,the traditional pointer generation network is still used as the basic framework,and the encoder part in Transformer is intro-duced as preprocessing to improve the coding quality.In addition,the penalty of unregistered words is introduced to improve the novelty of the generated abstract text.Experimental results show that the model has achieved good results on the NLPCC data set.关键词
编码器-解码器/注意力机制/Transformer/指针生成网络Key words
encoder-decoder/attention mechanism/Transformer/pointer-generator network分类
数理科学引用本文复制引用
杨尚儒,廖闻剑..基于改进指针生成网络的文本摘要[J].计算机与数字工程,2024,52(4):1154-1158,5.
