Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31667
Title: On macro- and micro-level information in multiple documents and its influence on summarization
Authors: Zhan, J
Loh, HT
Liu, Y
Keywords: Document structure analysis
Multi-document summarization
Summarization evaluation
Issue Date: 2009
Publisher: Pergamon Press
Source: International journal of information management, 2009, v. 29, no. 1, p. 57-66 How to cite?
Journal: International journal of information management 
Abstract: A well-known challenge for multi-document summarization (MDS) is that a single best or "gold standard" summary does not exist, i.e. it is often difficult to secure a consensus among reference summaries written by different authors. It therefore motivates us to study what the "important information" is in multiple input documents that will guide different authors in writing a summary. In this paper, we propose the notions of macro- and micro-level information. Macro-level information refers to the salient topics shared among different input documents, while micro-level information consists of different sentences that act as elaborating or provide complementary details for those salient topics. Experimental studies were conducted to examine the influence of macro- and micro-level information on summarization and its evaluation. Results showed that human subjects highly relied on macro-level information when writing a summary. The length allowed for summaries is the leading factor that affects the summary agreement. Meanwhile, our summarization evaluation approach based on the proposed macro- and micro-structure information also suggested that micro-level information offered complementary details for macro-level information. We believe that both levels of information form the "important information" which affects the modeling and evaluation of automatic summarization systems.
URI: http://hdl.handle.net/10397/31667
ISSN: 0268-4012
EISSN: 1873-4707
DOI: 10.1016/j.ijinfomgt.2008.04.011
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