Correlating Summarization of Multi-source News with K-Way Graph Bi-clustering
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...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2004
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/1791 http://dl.acm.org/citation.cfm?id=1046461 |
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| Institution: | Singapore Management University |
| Language: | English |
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