Title :
Modeling Document Summarization as Multi-objective Optimization
Author :
Huang, Lei ; He, Yanxiang ; Wei, Furu ; Li, Wenjie
Author_Institution :
Dept. of Comput. Sci. & Technol., Wuhan Univ., Wuhan, China
Abstract :
In this paper, we consider document summarization as a multi-objective optimization problem involving four objective functions, namely information coverage, significance, redundancy and text coherence. These functions measure the possible summaries based on the identified core terms and main topics (i.e. a cluster of semantically or statistically related core terms). We choose the DUC 2005 and 2006 query-oriented summarization tasks to exam the proposed model. The encouraging results indicate that the multi-objective optimization based framework for document summarization is truly a promising research direction.
Keywords :
document handling; optimisation; document summarization modeling; information coverage; multiobjective optimization; query-oriented summarization tasks; redundancy; text coherence; Computer science; Computer security; Data mining; Dynamic programming; Greedy algorithms; Inference algorithms; Informatics; Information security; Information technology; Optimization methods; document summarization; multi-objective optimization; query-sensitive term weighting and clustering;
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
DOI :
10.1109/IITSI.2010.80
