Research on Question Answering based on Knowledge Graph of Military Industry Domain

With the rapid development of natural language processing, large amount of information makes people's requirements for the effectiveness and efficiency of information retrieval more urgent. For researchers in the military industry domain, how to effectively retrieve information is becoming an urgent problem. To this end, this research concentrates on the military industry domain, using relevant literature as the corpus, and constructs a knowledge graph that includes five types of entities and four types of relationships. On the basis of this knowledge graph, we achieve the function of intelligent question answering of scientific research literature in the military industry domain. The contribution of this research is to provide information service support for scientific research.