The event extraction from news on the internet is performed by a method of semantic role analysis. The sentence in the news is annotated with arguments labeler; the argument structures centered with verbs are extracted and converted to a specific semantic role of the verb; and then the semantic roles are matched to the event elements. How to use VerbNet and SemLink resources to match the verb’s arguments and event elements is put forward and studied in detail. The experiment is carried out on 1 000 news corpus crawled from the web, and the results show that the F value is up to 70.6% and the proposed method has certain application value.