| 基于事件的多主题文本自动文摘方法 |
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| 引用本文： | 廖涛,刘宗田,王先传.基于事件的多主题文本自动文摘方法[J].计算机工程,2013,39(3):236-240. |
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| 作者姓名： | 廖涛 刘宗田 王先传 |
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| 作者单位： | 1. 上海大学计算机工程与科学学院，上海 200072; 安徽理工大学计算机科学与工程学院，安徽 淮南 232001
2. 上海大学计算机工程与科学学院,上海,200072 |
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| 基金项目： | 国家自然科学基金资助项目(60975033)；安徽省高等学校优秀青年人才基金资助项目(2010SQRL050) |
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| 摘 要： | 通过对自动文摘技术的研究，针对叙事类文本，以事件作为基本语义单元，提出一种基于事件的多主题文本自动文摘方法。利用事件和事件间的关系构建事件网络文本表示模型，使用社区划分算法解决子事件主题划分问题。实验结果表明，该方法提取出的准确率、召回率及F值较高，能更好地概括文本的内容。
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| 关 键 词： | 多主题文本 自动文摘 文本表示 图结构 事件网络 主题划分 |
| 收稿时间： | 2012-03-29 |
Event-based Automatic Summarization Method for Multiple Topics Text |
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| LIAO Tao
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LIU Zong-tian
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WANG Xian-chuan.Event-based Automatic Summarization Method for Multiple Topics Text[J].Computer Engineering,2013,39(3):236-240. |
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| Authors: | LIAO Tao LIU Zong-tian WANG Xian-chuan |
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| Affiliation: | (1. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China; 2. School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China) |
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| Abstract: | By studying the technology of automatic summarization, this paper considers the event as a basic semantic unit for narrative texts, and presents a new event-based method for automatic summarization in multiple topics text. This method utilizes events and the relationship between events to build event-network text representation model, and uses the algorithm of community detection to solve the problem of sub-event topic partition. Experimental results show that this method extracts a summary of higher precision, recall and F vaule, and better summarizes the content of the text. |
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| Keywords: | multiple topics text automatic summarization text representation graph structure event network topic partition |
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