Discovering Latent Threads in Entity Histories
Discovering Latent Threads in Entity Histories
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DOI：
10.1007/s41019-019-00108-x
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发表时间：
2019-11
影响因子：
4.2
通讯作者：
Yijun Duan;A. Jatowt;Katsumi Tanaka
中科院分区：
文献类型：
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作者：
Yijun Duan;A. Jatowt;Katsumi Tanaka
实体历史的知识对于全面理解和表征实体通常是必要的。然而，对一个实体的历史的分析往往是最有意义的，当与其他实体的历史进行比较时。在本文中，我们描述了一个新的任务，基于历史的实体分类和比较。基于一组被假定为输入的实体相关的文件，我们确定潜在的实体类别，其成员共享类似的历史，因此，我们有效地分组实体的基础上，在其历史发展的对应关系。接下来，我们为每个确定的组生成比较时间表，允许用户阐明实体历史中的相似性和差异。我们在不同实体类型的几个数据集上评估了我们的方法，证明了它对竞争基线的有效性。
Knowledge of entity histories is often necessary for comprehensive understanding and characterization of entities. Yet, the analysis of an entity’s history is often most meaningful when carried out in comparison with the histories of other entities. In this paper, we describe a novel task ofhistory-based entity categorizationandcomparison. Based on a set of entity-related documents which are assumed as an input, we determine latent entity categories whose members share similar histories; hence, we are effectively grouping entities based on the correspondences in their historical developments. Next, we generate comparative timelines for each determined group allowing users to elucidate similarities and differences in the histories of entities. We evaluate our approach on several datasets of different entity types demonstrating its effectiveness against competitive baselines.