Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10355291 | Information Processing & Management | 2005 | 17 Pages |
Abstract
We pursue two additional issues inherent in the comparison of structured query processing with language modeling. The first concerns query expansion, and the second is the role of translation probabilities. We compare conventional expansion techniques (pseudo-relevance feedback) with relevance modeling, a new IR approach which fits into the formal framework of language modeling. We find that relevance modeling and pseudo-relevance feedback achieve comparable levels of retrieval and that good translation probabilities confer a small but significant advantage.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Leah S. Larkey, Margaret E. Connell,