• Media type: E-Article
  • Title: Discovering Latent Threads in Entity Histories
  • Contributor: Duan, Yijun; Jatowt, Adam; Tanaka, Katsumi
  • imprint: Springer Science and Business Media LLC, 2019
  • Published in: Data Science and Engineering
  • Language: English
  • DOI: 10.1007/s41019-019-00108-x
  • ISSN: 2364-1185; 2364-1541
  • Keywords: Computer Science Applications ; Computational Mechanics
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title><jats:p>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 of<jats:italic>history-based entity categorization</jats:italic>and<jats:italic>comparison</jats:italic>. 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.</jats:p>
  • Access State: Open Access