Event generalization is a key step in constructing event evolutionary graphs.However,the current frameworks for clustering-based and classification-based event generalization ignore the structural characteristics and dynamic changes of domain knowledge,and are thus unsuitable for event generalization in a limited domain.In this paper,we propose a domain-oriented event generalization framework based on deep semantic matching,comprised of two modules:deep semantic computing and seed event matching.This framework can effectively solve the problems of dynamic fusion of domain knowledge and event s...