Event Relations Extraction Based on Event Co-occurrence Network
Tao Liao, Peipei Sun, Zongtian Liu · 2015
Cognitive scientists believe that humans memorize and understand the real world through "event". Event relations extraction has become increasingly important in some natural language processing applications. In this paper, we firstly consider the event as a basic semantic unit and present a new event co-occurrence network. Then, we study event relations extraction based on this event co-occurrence network. We used the association rule mining method to extract event co-occurrence pairs from event co-occurrence networks, and got the semantic relations between event classes after generalizing and analyzing these event co-occurrence pairs. The experimental results show that our event relations extraction method has good performance.