This paper presents a fully operational real-time event extraction system which is capable of accurately and efficiently extracting violent and natural disaster events from vast amount of online news articles per day in different languages. Due to the requirement that the system must be multilingual and easily extendable, it is based on a shallow linguistic analysis. The event extraction results can be viewed on a publicly accessible website.