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Graph-Based Named Entity Linking with Wikipedia

机译:基于图的命名实体与维基百科的链接

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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)实体提及其相应的Wikipedia文章。最先进的受监管NEL系统在丰富的Wikipedia文档和链接图结构上使用功能。基于图的测度已在WordNet上有效地解决了词义消歧(WSD)。我们在NEL和WSD之间进行了比较,以激发我们的无监督NEL方法,该方法利用了Wikipedia文章和类别链接图。我们的系统在tac 2010共享任务上达到了85.5%的准确度-与最好的受监督和不受监督的系统相媲美。

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