Important events extraction based on event co-occurrence network text representation method

Cognitive scientists believe that humans memorize and understand the real world through "event". A large number of narrative class texts contain various events and people can extract important events from the texts to support various event-based information processing. In this paper, we firstly research event annotation and build the Chinese Emergency Corpus. Then, we consider the event as a basic semantic unit for narrative texts and present a new event co-occurrence network text representation method. Finally, we study important events extraction based on this event co-occurrence network. The experimental results show that our important event extraction method has good performance.