Probabilistic structured query methods

TitleProbabilistic structured query methods
Publication TypeConference Papers
Year of Publication2003
AuthorsDarwish K, Oard D
Conference NameProceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Date Published2003///
Conference LocationNew York, NY, USA
ISBN Number1-58113-646-3
Keywordsarabic, CLIR, OCR, structured queries, term replacement

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.