A novel retrieval approach reflecting variability of syntactic phrase representation
- Authors
- Song, Young-In; Han, Kyoung-Soo; Kim, Sang-Bum; Park, So-Young; Rim, 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Informatics > Department of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.