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基于条件随机场的中文自动文摘系统
引用本文:邓箴,包宏.基于条件随机场的中文自动文摘系统[J].西安石油大学学报(自然科学版),2009,24(1).
作者姓名:邓箴  包宏
作者单位:北京科技大学,信息工程学院,北京,100083
基金项目:国家重点基础研究发展规划(973计划) 
摘    要:提出了一种基于条件随机场的中文自动文摘方法.用条件随机场来建立词性标注模型.在文摘句抽取时,引入了关键词抽取技术抽取文摘句.在生成文摘时,采用了基于规则的方法去除文摘中的冗余信息,使最后生成的文摘更具有可读性.实例表明该方法能够适应于许多领域,得到了很好的应用效果.

关 键 词:条件随机场  自动文摘  关键词抽取

Automatic summarization system of a Chinese text based on conditional random field model
DENG Zhen,BAO Hong.Automatic summarization system of a Chinese text based on conditional random field model[J].Journal of Xian Shiyou University,2009,24(1).
Authors:DENG Zhen  BAO Hong
Abstract:A automatic summarizing method of Chinese texts based on conditional random field is proposed.The conditional random field is used for establishing part of speech tagging model.Key-word extraction is used in the extraction of abstract sentences.The redundant information in the generated abstract is removed based on a series of rules,which can enhance the readability of the final generated abstract.Several cases show that this abstract extraction method has good application results to many types of Chinese texts.
Keywords:conditional random field  automatic text summarization  keyword abstraction  readability of abstract
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