Multiple News Articles Summarization based on Event Reference Information
Masaharu Yoshioka, Makoto Haraguchi · NTCIR · 2004
In this paper, we describe our method to generate summary from multiple news articles. Since most of news articles report several events and these events are refereed with following articles, we use this event reference information to calculate importance of a sentence in multiple news articles. We also propose a method to delete redundant description by using similarity of events. Finally we discuss its effectiveness based on the evaluation result.