The Research on Application of Intelligent Corpus Annotation of Entity Extraction with Construction of Knowledge Graph written by Fan Junjie, a 2020 postgraduate freshman from the Institute of Cognitive Intelligence, together with his tutor, Liu Xingli, was contributed to the journal of Mathematical Problems in Engineering and published in October 2022. The journal JCQ is a sub category of General Engineering Q2. Taking the open source data of military equipment as an example, this article explored the application method of the entity corpus automatic annotation strategy for the NER model training of the Domain-specific Knowledge Graph of the new generation of artificial intelligence. In this experimental study, the 60M corpus entity annotation was automatically annotated. The annotated text corpus has been verified by applying to the planned outsourcing topics of the national key research and development program undertaken by the Institute and the technical innovation part of the key project of the national social science fund presided over by Professor Ma Haiqun. On the one hand, the publication of these results has provided a training model of automatic annotation of entity corpus for the core chapters of the master's thesis written by Fan Junjie, and on the other hand, it represents the continuous and steady improvement of the software engineering master's training level in our institute, which is worth learning. Congratulations! We look forward to the continuous efforts and news of success of the postgraduates in our college.
