计算机应用 ›› 2009, Vol. 29 ›› Issue (08): 2264-2267.

• 人工智能 • 上一篇    下一篇

基于指代消解的中文事件融合方法

许荣华1,吴刚2,李培峰3,朱巧明4   

  1. 1. 苏州大学,计算机科学和技术学院;江苏省计算机信息处理技术重点实验室
    2. 苏州大学
    3.
    4. 江苏省苏州大学
  • 收稿日期:2009-02-10 修回日期:2009-03-22 发布日期:2008-08-01 出版日期:2009-08-01
  • 通讯作者: 许荣华
  • 基金资助:
    国家级基金

An Approach of Chinese Event Information Fusion Based on Co-reference

  • Received:2009-02-10 Revised:2009-03-22 Online:2008-08-01 Published:2009-08-01

摘要: 事件抽取是信息抽取领域的一个重要的研究方向。针对事件抽取获得的信息不完整和语义不明确的特点,在此基础上引入指代消解和信息融合理论,通过事件元素归一化和互指事件的合并,在数据和特征两个层次上对事件信息进行融合,进一步明确和完善事件信息,并在不损失信息的情况下精简整个信息系统的信息量。在裁员事件的融合实验中正确率达到86.9%。

关键词: 信息融合, 事件抽取, 指代消解, 信息抽取, event extraction

Abstract: Event extraction is an important research direction in the area of information extraction. But the information extracted from single sentence is always incomplete and implicit. The authors provided a novel algorithm based on coreference resolution and information fusion basic theory. That algorithm including three steps: event element standardization, coreference event clustering and element fusion. Through those steps we can fuse all coreference events and get a more explicit and complete event description at last. The experimental results show that the precision reaches as high as 86.9%.

Key words: information fusion, co-reference resolution, CRE, information extraction, VIPS

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