Abstract

On-line sources of news typically follow a particular pattern when presenting updates on a news event over time. First, they produce a preliminary report on the event, and later send out updates as the story evolves. There are two classes of readers accessing the latter stories - these who have read the original announcement and are familiar with the story background and those who are \joining" the thread at a later point in time. Because of the existence of the two clases of readers, news sources typically include in consequent stories some information that was already present in earlier stories. We discuss our approach to identifying such repeated pieces of information in news threads and show how this knowledge can help in generating userspeci c summaries of entire threads of articles. 1 Introduction To be able to generate summaries of threads of articles, it is important to do two things: identify which articles belong together (because they refer to the same event) and id...

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