文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 A Maximum Entropy model for Automatic Summarization
卷期 27:2
作者 Wei-Jiang LiZhen-Zhen WangDong-Jun LiZheng-Tao YuTie-Jun Zhao
頁次 050-058
關鍵字 Automatic SummarizationMaximum EntropyFeature ExtractionEIMEDLINEScopus
出刊日期 201607

中文摘要

英文摘要

Nowadays, the number of electronic information has grown largely. Research on summarization is particularly important. Automatic summarization can accelerate the speed of access to resources. This paper studied the automatic summarization existing technical methods and the basic principle of maximum entropy model. With the principle of maximum entropy and automatic summarization technical characteristics, the au-tomatic summarization method based on maximum entropy model is designed. Summary sentences multifac-eted characteristics, design the automatic summarization sentences characteristics of maximum entropy ex-traction rules, different digest the results of different combinations of features. The results of experiments and examples show that the new method has a good practical effect.

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