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Topic detection and tracking (TDT) is a hot issue in text processing, which allows people to efficiently access interesting information they need from large amounts of narrative reports, and obtain the cause of a certain event and its subsequent events. In this paper, event network instead of vector space model (VSM) is used to represent the contents of texts. Firstly, event networks are constructed...
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