Knowledge Graph Population from Natural Language Text

摘要

Knowledge Graph (KG) plays a crucial role in many modern applications as prior knowledge. Recently, there are many existing KGs such as DBpedia, Freebase, YAGO and etc. Nevertheless, it is well-known that a KG is incomplete. Also, new knowledge emerges every day. Consequently, such KGs become more and more incomplete over time. It is therefore necessary to populate new knowledge to the KG in order to fill missing knowledge.