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Evolutionary document summarization for disaster management
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval table of contents
Boston, MA, USA
POSTER SESSION: Posters table of contents
Pages 680-681  
Year of Publication: 2009
ISBN:978-1-60558-483-6
Authors
Dingding Wang  Florida International University, Miami, FL, USA
Li Zheng  Florida International University, Miami, FL, USA
Tao Li  Florida International University, Miami, FL, USA
Yi Deng  Florida International University, Miami, FL, USA
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this poster, we develop an evolutionary document summarization system for discovering the changes and differences in each phase of a disaster evolution. Given a collection of document streams describing an event, our system generates a short summary delivering the main development theme of the event by extracting the most representative and discriminative sentences at each phase. Experimental results on the collection of press releases for Hurricane Wilma in 2005 demonstrate the efficacy of our proposal.



Collaborative Colleagues:
Dingding Wang: colleagues
Li Zheng: colleagues
Tao Li: colleagues
Yi Deng: colleagues