A novel retrieval approach reflecting variability of syntactic phrase representation

Young In Song, Kyoung Soo Han, Sang Bum Kim, So Young Park, Hae Chang Rim

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)265-286
Number of pages22
JournalJournal of Intelligent Information Systems
Volume31
Issue number3
DOIs
Publication statusPublished - 2008 Dec

Keywords

  • Head-modifier pair
  • Information retrieval
  • Retrieval model
  • Structural language model
  • Syntactic phrase
  • Variability of phrase
  • Weighting phrases

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

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