Research on Multi-modal Intelligent Compilation of Archives Based on Artificial Intelligence Technology
In view of the problems of high utilization cost,low utilization rate and difficult compilation and research of archival information,a multi-modal intelligent compilation method based on deep learning is studied and implemented.Considering the accuracy and diversity of compilation knowledge,the key information of archival knowledge is extracted by combining NLP and its image processing technology.In order to ensure that the generated content is consistent with the actual business and relatively standardized,the archival business topic template and its compilation rules are designed,and the intelligent compilation of archives theme content is realized by combining ChatGLM.
multi-modal key information extractionintelligent compilation of archivesintelligent generationdeep learning
NETL
NSTL
万方数据
