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

机译:GB-JER:基于图形的联合实体分辨率模型

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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:解决多个类相关实体表示,共同促进实体解析的准确性。我们提出了一种基于图形的联合实体分辨率模型:GB-Jer,用于利用动态实体表示关系图。它签订了匹配对的邻居,其中语义的丰富为后续实体解决提供了新的证据。 GB-Jer也是一种增量方法。实验评价表明,GB-Jer的优势在于准确性,现有的最先进的联合实体解决方法。

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