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突发事件Web新闻中时间信息分析及抽取
  • 期刊名称：计算机工程与应用
  • 时间：0
  • 页码：107-109
  • 分类：TP391.1[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]北京航空航天大学经济管理学院,北京100191, [2]中国标准化研究院质量管理分院,北京100088
  • 相关基金：国家自然科学基金（the National Natural Science Foundation of China under Grant No.90924020,No.70971005） ;国家科技支撑计划重大专项（the National Key Technology R＆D Program of China under Grant No.2006BAK04A23）.
  • 相关项目：面向非常规突发事件预警的Web信息流监控和传播研究
作者： 蔡华利|刘鲁|刘志明|杨跃翔|
关键词： 突发事件, 发生时间, Web新闻排序, 信息抽取, emergencies, occurring time, Web news ranking , information extraction
中文摘要：

为了更深入地挖掘突发事件Web新闻并应用于应急管理，提出了突发事件Web新闻时间抽取方法。首先引入中文的时间关系理论；然后从突发事件Web新闻的时间构成、时间位置特征以及时间常用词三个方面分析了突发事件Web新闻的表达特征；基于此，提出突发事件Web新闻的时间抽取方法，通过统计学习，正确率较理想；最后，基于已抽取到的事件发生时间信息，程序实现了突发事件Web新闻排序。

英文摘要：

To make deeply mining in Web news under emergencies and be applied to emergency management,temporal information extraction method for Web news under emergencies is proposed.The Chinese temporal relation is firstly brought in. Then expression features of Web news are concluded from the time composition, time location and commonly used temporal words.Thirdly the Web news time information extraction method is proposed,which is proved satisfactory at accuracy.At last, the Web news rank under emergencies is implemented based on the occurring time extracted by this method.

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