With a Little Help from my Neighbors: Person Name Linking Using the Wikipedia Social Network
With a Little Help from my Neighbors: Person Name Linking Using the Wikipedia Social Network
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DOI：
10.1145/2872518.2891109
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发表时间：
2016-04
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影响因子：
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通讯作者：
Johanna Geiß;Michael Gertz
中科院分区：
文献类型：
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作者：
Johanna Geiß;Michael Gertz
由于社交网络的流行，人们对在命名实体链接的环境中使用这种网络越来越感兴趣。在本文中，我们提出了一种新的人名消解和链接方法，该方法使用从英文维基百科提取的大规模社交网络。首先，为不明确的人名确定可能的候选匹配。对于每个候选匹配，都会关联一个网络子结构。基于这些网络子结构与文档中含有歧义人名的潜在网络之间的相似性，我们提出了一种有效的排序方法来解决歧义。我们证明了我们的方法的有效性，在消除人名歧义并将他们与真实世界实体联系起来方面，总体准确率超过96%。
Driven by the popularity of social networks, there has been an increasing interest in employing such networks in the context of named entity linking. In this paper, we present a novel approach to person name disambiguation and linking that uses a large-scale social network extracted from the English Wikipedia. First, possible candidate matches for an ambiguous person name are determined. With each candidate match, a network substructure is associated. Based on the similarity between these network substructures and the latent network of an ambiguous person name in a document, we propose an efficient ranking method to resolve the ambiguity. We demonstrate the effectiveness of our approach, resulting in an overall precision of over 96% for disambiguating person names and linking them to real world entities.