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基于GATE的中文事件抽取方法

Study on the Chinese Event Extraction Method based on GATE

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【作者】 黄海张海玉

【Author】 HUANG Hai;ZHANG Haiyu;Guangdong peizheng college office;Tai Yuan University of Technology;

【机构】 广东培正学院教务处太原理工大学财经学院信息系

【摘要】 事件抽取是信息抽取领域的重要研究方向,针对目前网页文档中文事件抽取的关键问题,提出利用开源的通用文本处理框架(GATE)进行中文事件抽取的方法,设计GATE中文事件处理流程,开发GATE插件,解决中文分词与词性标注、领域词典、中文抽取规则设计等关键技术,实现了中文事件的类型识别和元素抽取。并以四类政治事件为例,进行中文事件抽取实验。实验结果表明,基于GATE的中文事件抽取具有良好的通用性,能够取得了较好的抽取效果。

【Abstract】 Event extraction is one of the most important research field in information extraction. Aiming at the key problem of Chinese event extraction in the web page document, a method of Chinese event extraction with General Architecture for Text Engineering(GATE) is proposed. The procedure of GATE Chinese event is designed, several GATE plug-in are developed to solve key technologies of Chinese word segmentation and part of speech tagging, domain dictionary and Chinese extraction rule design. This paper take five category political events extraction for instance, make an events extraction experiment. The result shows that Chinese event extraction method based on GATE can apply universally and have a good result.

  • 【文献出处】 山东农业工程学院学报 ,The Journal of Shandong Agriculture and Engineering University , 编辑部邮箱 ,2017年05期
  • 【分类号】TP391.1
  • 【被引频次】2
  • 【下载频次】181
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