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http://dx.doi.org/10.6109/jkiice.2012.16.11.2374

Enhancing Snippet Extraction Method using Fuzzy and Semantic Features  

Park, Sun (목포대학교 정보산업연구소)
Lee, Yeonwoo (목포대학교 전자상거래학과)
Cho, Kwangmoon (목포대학교 정보통신학과)
Yang, Huyeol (목포대학교 전자상거래학과)
Lee, Seong Ro (목포대학교 정보전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.11, 2012 , pp. 2374-2381 More about this Journal
Abstract
This paper proposes a new enhancing snippet extraction method using fuzzy and semantic features. The proposed method creates a delegate of sentence by using semantic features. It extracts snippet using fuzzy association between a delegate sentence and sentence set which well represents query. In addition, the method uses pseudo relevance feedback to expand query which extracts snippet to be well reflected semantic user's intention. The experimental results demonstrate the proposed method can achieve better snippet extraction performance than the previous methods.
Keywords
snippet; semantic features; NMF(non-negative matrix factorization); pseudo relevance feedback; fuzzy association;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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