Session 2C: Knowledge and Entities SIGIR ’19, July 21–25, 2019, Paris, France Personal Knowledge Base Construction from Text-based Lifelogs An-Zi Yen1, Hen-Hsen Huang23, Hsin-Hsi Chen13 1Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan 2Department of Computer Science, National Chengchi University, Taipei, Taiwan 3MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan
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[email protected] ABSTRACT Previous work on lifelogging focuses on life event extraction from 1. INTRODUCTION image, audio, and video data via wearable sensors. In contrast to Life event extraction from social media data provides wearing an extra camera to record daily life, people are used to complementary information for individuals. For example, in the log their life on social media platforms. In this paper, we aim to tweet (T1), there is a life event of the user who reads the book extract life events from textual data shared on Twitter and entitled “Miracles of the Namiya General Store” and enjoys it. The construct personal knowledge bases of individuals. The issues to enriched repository personal information is useful for memory be tackled include (1) not all text descriptions are related to life recall and supports living assistance. events, (2) life events in a text description can be expressed explicitly or implicitly, (3) the predicates in the implicit events are (T1) 東野圭吾的《解憂雜貨店》真好看 (Higashino Keigo's often absent, and (4) the mapping from natural language “Miracles of the Namiya General Store” is really nice.) predicates to knowledge base relations may be ambiguous.