Previous work on lifelogging focuses on life event extraction from image, audio, and video data via wearable sensors. In contrast to wearing an extra camera to record daily life, people are used to log their life on social media platforms. In this talk, I will show how to extract life events from textual data shared on Twitter and construct personal knowledge bases of individuals. The issues to be tackled include (1) not all text descriptions are related to life events, (2) life events in a text description can be expressed explicitly or implicitly, (3) the predicates in the implicit events are often absent, and (4) the mapping from natural language predicates to knowledge base relations may be ambiguous.
Hsin-Hsi Chen is a distinguished professor in Department of Computer Science and Information Engineering, National Taiwan University, Taiwan. He served as chair of the department from 2002 to 2005. From 2006 to 2009, he was chief director of Computer and Information Networking Center. He served as associate dean of College of Electrical Engineering and Computer Science from 2015 to 2018 and served as director of MOST Joint Research Center for AI Technology and All Vista Healthcare from 2018. His research interests are natural language processing, information retrieval and extraction, and web mining. He has published more than 380 papers in these research areas. Hsin-Hsi Chen received Google research awards in 2007 and 2012, awards of Microsoft Research Asia in 2008 and 2009, NTU EECS Academic Award in 2011, NTU Award for Outstanding Service in 2011, MOST Outstanding Research Award in 2017, NTU Teaching Excellence Award in 2018, and the AmTRAN Chair Professorship in 2018.
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