A novel retrieval approach reflecting variability of syntactic phrase representation

Authors:
Young-In Song;Kyoung-Soo Han;Sang-Bum Kim;So-Young Park;Hae-Chang Rim
Affiliations:
Department of Computer Science and Engineering, Korea University, Seoul, South Korea 136-701;SK Telecom, Seoul, South Korea;SK Telecom, Seoul, South Korea;Sang-Myoung University, Seoul, South Korea;Department of Computer Science and Engineering, Korea University, Seoul, South Korea 136-701
Venue:
Journal of Intelligent Information Systems
Year:
2008

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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.