首页> 外文会议>International Conference on Web Information Systems Engineering >Graph-Based Named Entity Linking with Wikipedia
【24h】

Graph-Based Named Entity Linking with Wikipedia

机译:基于图形的名为实体与维基百科链接

获取原文
获取外文期刊封面目录资料

摘要

Named entity linking (NEL) grounds entity mentions to their corresponding Wikipedia article. State-of-the-art supervised NEL systems use features over the rich Wikipedia document and link-graph structure. Graph-based measures have been effective over WordNet for word sense disambiguation (WSD). We draw parallels between NEL and WSD, motivating our unsupervised NEL approach that exploits the Wikipedia article and category link graphs. Our system achieves 85.5% accuracy on the TAC 2010 shared task - competitive with the best supervised and unsupervised systems.
机译:命名实体链接(NEL)地面实体对其相应的维基百科文章提出。最先进的监督NEL系统使用富裕的维基百科文档和链路图结构上的功能。基于图形的措施对于Wordnet进行了有效的Wordnet,用于字感歧义(WSD)。我们在NEL和WSD之间绘制了相似之处,激励了我们的无监督的NEL方法,该方法利用维基百科文章和类别链接图。我们的系统在TAC 2010共享任务上实现了85.5%的准确性 - 竞争最佳监督和无监督系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号