Correlating Summarization of Multi-source News with K-Way Graph Bi-clustering

• Main Authors: ZHANG, Ya, CHU, Chao-Hsien, JI, Xiang, ZHA, Hongyuan
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2004
• 主題: Computer Sciences; Management Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/1791; http://dl.acm.org/citation.cfm?id=1046461

With the emergence of enormous amount of online news, it is desirable to construct text mining methods that can extract, compare and highlight similarities of them. In this paper, we explore the research issue and methodology of correlated summarization for a pair of news articles. The algorithm ali...