Building a Hierarchy of Events and Topics for Newspaper Digital Libraries

Abstract

In this paper we propose an incremental hierarchical clustering algorithm for on-line event detection. This algorithm is applied to a set of newspaper articles in order to discover the structure of topics and events that they describe. In the first level, articles with a high temporal-semantic similarity are clustered together into events. In the next… (More)
DOI: 10.1007/3-540-36618-0_46

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