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News streams contain rich up-to-date information which can be used to update knowledge graphs (KGs). Most current text-based KG updating methods rely on elaborately designed information extraction systems and carefully crafted rules, which are often domain-specific and hard to maintain or generalize. However, such methods may not pay enough attention to the implicit information that lies underneath texts, thus often suffer from coverage issues. In this paper, we propose a novel graph baseddoi:10.18653/v1/d19-1265 dblp:conf/emnlp/TangFZ19 fatcat:6pkvp5sa7jbq5bgh6wi4zmlpri