document: Discovering event evolution graphs from newswires In this paper , we propose an approach to automatically mine event evolution graphs from newswires on the Web . Event evolution graph is a directed graph in which the vertices and edges denote news events and the evolutions between events respectively , in a news affair . Our model utilizes the content similarity between events and incorporates temporal proximity and document distributional proximity as decaying functions . Our approach is effective in presenting the inside developments of news affairs along the timeline , which can facilitate users ' information browsing tasks .
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