Probabilistic Structured Query Methods

Kareem Darwish, Douglas W. Oard

Research output: Contribution to journalArticle

74 Citations (Scopus)

Abstract

Structured methods for query term replacement rely on separate estimates of term tes of replacement probabilities. Statistically significantfrequency and document frequency to compute a weight for each query term. This paper reviews prior work on structured query techniques and introduces three new variants that leverage estima improvements in retrieval effectiveness are demonstrated for cross-language retrieval and for retrieval based on optical character recognition when replacement probabilities are used to estimate both term frequency and document frequency.

Original languageEnglish
Pages (from-to)338-344
Number of pages7
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Issue numberSPEC. ISS.
Publication statusPublished - 1 Dec 2003
Externally publishedYes

Fingerprint

Optical character recognition
Replacement
Query
Language
Leverage

Keywords

  • Arabic
  • CLIR
  • OCR
  • Structured Queries
  • Term Replacement

ASJC Scopus subject areas

  • Hardware and Architecture
  • Management Information Systems

Cite this

Probabilistic Structured Query Methods. / Darwish, Kareem; Oard, Douglas W.

In: SIGIR Forum (ACM Special Interest Group on Information Retrieval), No. SPEC. ISS., 01.12.2003, p. 338-344.

Research output: Contribution to journalArticle

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