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.
Fukumoto et al. focuses on subject shift and presents a method for extracting key paragraphs from documents that discuss the same event REF .
Detecting Shifts In News Stories For Paragraph Extraction
International Conference On Computational Linguistics
Computer Science