In order to help readers quickly grasp the main content of a large amount of news report information, this paper analyzes the impact of event elements on the main news content, and combines the basic principles and requirements of news reports, proposes a method of extracting event elements based on hybrid model. The proposed method first weighs the entities recognized in the news data, and then uses the dependency syntax tree to analyze the role of entities in news events, and dispels the reference phenomenon of elements. Finally, the fusion frequency and role relationship are used to improve the entity weighting method and effectively extract the important elements of news event relevance. The experimental results show that the method described in this study can accurately extract event elements with strong relevance to news events and improve the efficiency of readers' rapid selection of news event elements.