Important event extraction of chinese document based on small world model

A document is represented as an event network, the nodes represent events, and the edges represent the correlations between events. Our experiment shows that the event network has the small-world properties, i.e., highly clustered and short path length. We pick out important events according to event´s importance to make the event network small. Our experiment shows that these important events can make a good summarization of the document. Although there is much research on text processing and applications based on small-world, it is novel to analyze document based on event with the small-world properties of event network.