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Using query expansion in graph-based approach for query-focused multi-document summarization.

by: Lin Zhao, Lide Wu, and Xuanjing Huang

In: Information Processing and Management, Vol. 45, Nr. 1 (2009) , p. 35-41.

Resources (URL, PDF, PS...)

URL:	http://dblp.uni-trier.de/db/journals/ipm/ipm45.html#ZhaoWH09

This paper presents a novel query expansion method, which is combined in the graph-based algorithm for query-focused multi-document summarization, so as to resolve the problem of information limit in the original query. Our approach makes use of both the sentence-to-sentence relations and the sentence-to-word relations to select the query biased informative words from the document set and use them as query expansions to improve the sentence ranking result. Compared to previous query expansion approaches, our approach can capture more relevant information with less noise. We performed experiments on the data of document understanding conference DUC 2005 and DUC 2006, and the evaluation results show that the proposed query expansion method can significantly improve the system performance and make our system comparable to the state-of-the-art systems.

BibTeX record

@article{Zhao:2009,
  abstract = {This paper presents a novel query expansion method, which is combined in the graph-based algorithm for query-focused multi-document summarization, so as to resolve the problem of information limit in the original query. Our approach makes use of both the sentence-to-sentence relations and the sentence-to-word relations to select the query biased informative words from the document set and use them as query expansions to improve the sentence ranking result. Compared to previous query expansion approaches, our approach can capture more relevant information with less noise. We performed experiments on the data of document understanding conference (DUC) 2005 and DUC 2006, and the evaluation results show that the proposed query expansion method can significantly improve the system performance and make our system comparable to the state-of-the-art systems.},
  added-at = {2009-02-12T00:28:46.000+0100},
  author = {Zhao, Lin and Wu, Lide and Huang, Xuanjing},
  biburl = {http://www.bibsonomy.org/bibtex/2de1dc83f8e8cd4ef34ab24d1892ce125/diego_ma},
  interhash = {512497c53926924a79fc0b459da7be29},
  intrahash = {de1dc83f8e8cd4ef34ab24d1892ce125},
  journal = {Information Processing and Management},
  keywords = {summarisation question_answering graphs},
  library = {Mine (Feb 2009)},
  misc = {date = {2009-01-15}, ee = {http://dx.doi.org/10.1016/j.ipm.2008.07.001}},
  number = 1,
  pages = {35-41},
  timestamp = {2009-02-12T00:28:46.000+0100},
  title = {Using query expansion in graph-based approach for query-focused multi-document summarization.},
  url = {http://dblp.uni-trier.de/db/journals/ipm/ipm45.html#ZhaoWH09},
  volume = 45,
  year = 2009
}

Endnote record

%0 Journal Article
%1 Zhao:2009
%A Zhao, Lin
%A Wu, Lide
%A Huang, Xuanjing
%D 2009
%J Information Processing and Management
%K 
%N 1
%P 35-41
%T Using query expansion in graph-based approach for query-focused multi-document summarization.
%U http://dblp.uni-trier.de/db/journals/ipm/ipm45.html#ZhaoWH09
%V 45
%X This paper presents a novel query expansion method, which is combined in the graph-based algorithm for query-focused multi-document summarization, so as to resolve the problem of information limit in the original query. Our approach makes use of both the sentence-to-sentence relations and the sentence-to-word relations to select the query biased informative words from the document set and use them as query expansions to improve the sentence ranking result. Compared to previous query expansion approaches, our approach can capture more relevant information with less noise. We performed experiments on the data of document understanding conference (DUC) 2005 and DUC 2006, and the evaluation results show that the proposed query expansion method can significantly improve the system performance and make our system comparable to the state-of-the-art systems.

BibSonomy :: publication ::

Using query expansion in graph-based approach for query-focused multi-document summarization.

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record