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Impact of Document Structure on Hierarchical Summarization
Author(s) -
Fu Lee Wang,
Christopher C. Yang
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-49375-1
DOI - 10.1007/11931584_49
Subject(s) - automatic summarization , computer science , multi document summarization , set (abstract data type) , salient , information retrieval , hierarchical database model , hierarchical clustering , hierarchical organization , hierarchical control system , artificial intelligence , data mining , natural language processing , cluster analysis , control (management) , management , economics , programming language
Hierarchical summarization technique summarizes a large document based on the hierarchical structure and salient features of the document. Previous study has shown that hierarchical summarization is a promising technique which can effectively extract the most important information from the source document. Hierarchical summarization has been extended to summarization of multiple documents. Three hierarchical structures were proposed to organize a set of related documents. This paper investigates the impact of document structure on hierarchical summarization. The results show that the hierarchical summarization of multiple documents organized in hierarchical structure outperforms other multi-document summarization systems without using the hierarchical structure. Moreover, the hierarchical summarization by event topics extracts a set of sentences significantly different from hierarchical summarization of other hierarchical structures and performs the best when the summary is highly-compressed.

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