A Novel Entity Set Expansion Method Leveraging Entity Semantic Knowledge

Entity Set Expansion is one of the important problems in Open Information Extraction.Entity Set Expansion refers to expanding several given seeds of one concept into a more complete set.Most approaches solve the problem by using context or distributional information,suffering from the limitation of seed ambiguity problem which results in poor results.In this paper we present a novel method which introduces the semantic knowledge by leveraging Wikipedia knowledge base.We combine this method with traditional template based method.Experiment results show that the proposed method improves 18.5% in precision,6.8% in recall and 22.8% in MAP.