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A novel retrieval approach reflecting variability of syntactic phrase representation

Authors
Song, Young-InHan, Kyoung-SooKim, Sang-BumPark, So-YoungRim, Hae-Chang
Issue Date
12월-2008
Publisher
SPRINGER
Keywords
Information retrieval; Retrieval model; Structural language model; Syntactic phrase; Head-modifier pair; Weighting phrases; Variability of phrase
Citation
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v.31, no.3, pp.265 - 286
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Volume
31
Number
3
Start Page
265
End Page
286
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/122341
DOI
10.1007/s10844-007-0045-0
ISSN
0925-9902
Abstract
In this paper, we introduce variability of syntactic phrases and propose a new retrieval approach reflecting the variability of syntactic phrase representation. With variability measure of a phrase, we can estimate how likely a phrase in a given query would appear in relevant documents and control the impact of syntactic phrases in a retrieval model. Various experimental results over different types of queries and document collections show that our retrieval model based on variability of syntactic phrases is very effective in terms of retrieval performance, especially for long natural language queries.
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