| 刘永彬,邹银凤,刘志明.基于维基百科的实体排歧系统设计与实现[J].南华大学学报(自然科学版),2016,30(2):83~86, 92.[LIU Yong-bin,ZOU Yin-feng,LIU Zhi-ming.Entity Disambiguation Based on Wikipedia[J].Journal of University of South China(Science and Technology),2016,30(2):83~86, 92.] |
| 基于维基百科的实体排歧系统设计与实现 |
| Entity Disambiguation Based on Wikipedia |
| 投稿时间：2016-01-12 |
| DOI： |
| 中文关键词: 维基百科 实体排歧 信息抽取 |
| 英文关键词:Wikipedia Entity disambiguation information extraction |
| 基金项目:湖南省教育厅优秀青年基金资助项目(13B101);湖南省哲学社会科学基金资助项目(14YBA335);衡阳科学技术发展计划基金资助项目(2015KG60) |
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| 中文摘要: |
| 实体排歧一直是信息抽取任务中的难点问题.传统的方法常常借助语言知识库来进行排歧,如WordNet等.但是这类方法存在着一个问题,就是很难对人名以及最新的词汇进行排歧.因此,本文利用当前流行的维基百科知识库中的排歧页对同名实体进行排歧处理,提出基于维基百科的实体排歧方法.实验显示该方法能够有效的对人名进行排歧处理并且效果显著. |
| 英文摘要: |
| Entity disambiguation has always been a difficult problem in information extraction.The traditional method often uses the language knowledge-base to carry on the disambiguation,such as Wordnet and so on.But there is a problem with this approach,it is difficult to deal with name disambiguation.Therefore,in this paper,we use the disambiguation page of Wikipedia knowledge-base to deal with the same name,and put forward a method based on Wikipedia.Experiments show that the proposed method can effectively deal with the names of people and has a significant effect. |
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