AZOM: A Persian Structured Text Summarizer

被引：0
|
作者：
Zamanifar, Azadeh [1 ]
Kashefi, Omid [1 ]
机构：
[1] Iran Univ Sci & Technol, Sch Comp Engn, Tehran, Iran
来源：
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS | 2011年 / 6716卷
关键词：
Summarization; Persian; Fractal Theory; Statistic; Structure; Conceptual;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose a summarization approach, nicknamed AZOM, that combines statistical and conceptual property of text and in regards of document structure, extracts the summary of text. AZOM is also capable of summarizing unstructured documents. Proposed approach is localized for Persian language but easily can apply to other languages. The empirical results show comparatively superior results than common structured text summarizers, also than existing Persian text summarizers.
引用
收藏
页码：234 / 237
页数：4
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