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GB-JER: A Graph-Based Model for Joint Entity Resolution

机译:GB-JER:基于图的联合实体解析模型

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摘要

To resolve multiple classes of related entity representations jointly promotes accuracy of entity resolution. We propose a graph-based joint entity resolution model: GB-JER, who exploits a dynamic entity representation relationship graph. It contracts the neighborhood of the matched pair, where enrichment of semantics provides new evidences for subsequent entity resolution iteratively. Also GB-JER is an incremental approach. The experimental evaluation shows that GB-JER outperforms existing the state-of-the-art joint entity resolution approach in accuracy.
机译:解决多个类别的相关实体表示形式共同提高了实体解析的准确性。我们提出了一种基于图的联合实体解析模型:GB-JER,该模型利用了动态实体表示关系图。它使匹配对的邻域收缩,语义的丰富为迭代地进行后续实体解析提供了新的证据。 GB-JER也是一种增量方法。实验评估表明,GB-JER的准确性优于现有的最新联合实体解析方法。

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