The study on extraction of Vietnamese news event elements is rare, while Vietnam is a significant neighboring country with political, military and economic cooperation, which is just at a distance of a river with us. According to the Vietnamese characteristics, this paper puts forward a method of Vietnamese news event element extraction based on maximum entropy model. This method selects the context, adjacent trigger words and neighboring entities as features, delimits feature templates, trains Vietnamese news events model and achieves the extraction of news event elements of Vietnamese on the basis of the characteristics of the Vietnamese sentence structure and lexical semantic using the maximum entropy algorithm. The experimental result of the extraction shows that the accuracy of the news event elements extracted by the method proposed in this paper reaches more than 80%.