Overview of NTCIR-13 Actionable Knowledge Graph (AKG) Task

نویسندگان

  • Roi Blanco
  • Hideo Joho
  • Adam Jatowt
  • Haitao Yu
  • Shuhei Yamamoto
چکیده

This paper overviews NTCIR-13 Actionable Knowledge Graph (AKG) task. The task focuses on finding possible actions related to input entities and the relevant properties of such actions. AKG is composed of two subtasks: Action Mining (AM) and Actionable Knowledge Graph Generation (AKGG). Both subtasks are focused on English language. 9 runs have been submitted by 4 teams for the task. In this paper we describe both the subtasks, datasets, evaluation methods and the results of meta analyses.

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تاریخ انتشار 2017