Detecting shifts in news stories for paragraph extraction

Authors:
Fumiyo Fukumoto;Yoshimi Suzuki
Affiliations:
Yamanashi University, Kofu, Japan;Yamanashi University, Kofu, Japan
Venue:
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Year:
2002

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Abstract

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.