开放域事件抽取与微博事件检测跟踪

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1、AbstractKeywords:Open-domain,eventextraction,Hypergraphpartitioning,eventdetection,eventtrackingIII目录目录摘要................................................................IAbstract..............................................................II第1章绪论...............................................

2、..........11.1课题背景与意义...............................................11.1.1课题背景...............................................11.1.2研究意义...............................................21.2事件抽取的定义及其相关概念...................................31.3国内外研究现状与分析.........................................51.3.

3、1国内外研究现状.........................................51.3.2事件抽取评测...........................................81.4本文主要研究内容与章节安排..................................10第2章开放域事件触发词抽取.........................................122.1引言........................................................122.2基于规则的开放域事件触发词抽取

4、..............................122.2.1规则构建..............................................122.2.2实验与结果分析........................................152.3基于CRF模型的开放域事件触发词抽取..........................172.3.1CRF模型简介...........................................182.3.2特征选择....................................

5、..........192.3.3实验与结果分析........................................212.4开放域触发词识别方案设计....................................222.4.1规则与CRF模型融合....................................222.4.2实验结果与分析........................................232.5本章小结....................................................23第3章开放域事

6、件元素抽取............................................253.1引言........................................................253.2基于最大熵的开放域事件元素抽取..............................253.2.1最大熵简介............................................253.2.2特征选择..............................................273.2.3实验与结果分析.....

7、...................................283.3基于超图的开放域事件元素抽取................................303.3.1超图简介..............................................303.3.2基于超图的事件元素抽取流程............................313.3.3实验与结果分析...............................