Detecting Shifts in News Stories for Paragraph Extraction
نویسندگان
چکیده
For multi-document summarization where documents are collected over an extended period of time, the subject in a document changes over time. This paper focuses on subject shift and presents a method for extracting key paragraphs from documents that discuss the same event. Our extraction method uses the results of event tracking which starts from a few sample documents and finds all subsequent documents that discuss the same event. The method was tested on the TDT1 corpus, and the result shows the effectiveness of the method.
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تاریخ انتشار 2002