[1]刘美玲,王慧强,陈广胜,等.中文文本挖掘的动态文摘建模方法[J].哈尔滨工程大学学报,2019,40(04):820-826.[doi:10.11990/jheu.201710062]
 LIU Meiling,WANG Huiqiang,CHEN Guangsheng,et al.Research dynamic summarization modeling method based on Chinese text mining[J].hebgcdxxb,2019,40(04):820-826.[doi:10.11990/jheu.201710062]
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中文文本挖掘的动态文摘建模方法(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
40
期数:
2019年04期
页码:
820-826
栏目:
出版日期:
2019-04-05

文章信息/Info

Title:
Research dynamic summarization modeling method based on Chinese text mining
作者:
刘美玲12 王慧强2 陈广胜1 于洋1
1. 东北林业大学 信息与计算机工程学院, 黑龙江 哈尔滨 150040;
2. 哈尔滨工程大学 计算机科学与技术学院, 黑龙江 哈尔滨 150001
Author(s):
LIU Meiling12 WANG Huiqiang2 CHEN Guangsheng1 YU Yang1
1. College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China;
2. College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
关键词:
动态文摘建模文本挖掘中文摘要评测方法句子加权文本理解语料测试
分类号:
TP391
DOI:
10.11990/jheu.201710062
文献标志码:
A
摘要:
中文文摘是自然语言处理领域的重要研究之一,尤其是基于理解的文摘中对时间特征的研究,更是引起了广泛的关注。本文抽取中文文本摘要的动态特征,进行文本挖掘和建模分析来体现时间特性。通过对中文动态多文档文摘系统框架和句子加权、特征抽取及句子选择等关键步骤的算法设计,实现动态文摘模型,并提出基于动态性能的中文文摘评测方法。实验证明该中文动态文摘技术及其评测算法在实际的文本挖掘过程中,能较好地获得可理解性的、具有时间延展性的摘要,具有一定的可行性和较高的研究价值。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2017-10-31。
基金项目:国家自然科学基金项目(61702091);中央高校基本科研业务费专项资金项目(2572018BH06).
作者简介:刘美玲,女,讲师,博士.
通讯作者:刘美玲,E-mail:lmling2008@163.com
更新日期/Last Update: 2019-04-03