Modeling Document Summarization as Multi-objective Optimization

被引：33

作者：

Huang, Lei ^{[1
]}

He, Yanxiang ^{[1
]}

Wei, Furu ^{[1
,2
]}

Li, Wenjie ^{[2
]}

机构：

[1] Wuhan Univ, Dept Comp Sci & Technol, Wuhan, Peoples R China

[2] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China

来源：

2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010) | 2010年

关键词：

document summarization; multi-objective optimization; query-sensitive term weighting and clustering;

D O I：

10.1109/IITSI.2010.80

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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

引用

页码：382 / 386

页数：5

共 12 条

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