| 引用本文: | 张辉,李国辉,孙博良,等.一种新闻事件演化建模方法.[J].国防科技大学学报,2013,35(4):166-170.[点击复制] |
| ZHANG Hui,LI Guohui,SUN Boliang,et al.Modeling news event evolution[J].Journal of National University of Defense Technology,2013,35(4):166-170[点击复制] |
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| 一种新闻事件演化建模方法 |
| 张辉, 李国辉, 孙博良, 贾立 |
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(国防科技大学 信息系统与管理学院，湖南 长沙 410073)
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| 摘要: |
| 为了准确地发现话题中事件间的潜在关系，提出一种新闻事件演化建模方法。该方法利用事件的时间关系、内容相似性、命名实体关联信息构建新的演化关系模型，并通过定义事件的五种演化模式，识别出演化过程中的开始、中间、结束事件，最后根据新演化模型及演化模式建立事件演化的有向无环图模型，揭示事件发展的潜在脉络结构。实验结果表明，本文方法能够有效检测事件演化，提升系统性能。 |
| 关键词: 新闻事件演化 演化模式 TF·IEF模型 有向无环图 |
| DOI： |
| 投稿日期：2013-04-01 |
| 基金项目:国家自然科学基金项目(61170158)；国家部委资助项目；湖南省自然科学基金项目(12JJ5028) |
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| Modeling news event evolution |
| ZHANG Hui, LI Guohui, SUN Boliang, JIA Li |
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(College of Information System and Management, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A new method is proposed for modeling the news event evolution to precisely present the relationships between events. This method utilized the events timestamp, events content similarity, and events dependence between features to build a new event evolution model, and defined five different event evolution patterns to identify the seminal events, the intermediary and ending events. Ultimately, an event evolution graph model was constructed to present the underlying events relationship. Experiments were conducted, confirming that the proposed method is efficient for detecting event evolution, and improves performance of system. |
| Keywords: news event evolution evolution pattern TF·IEF model directed acyclic graph |
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