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» Two-stage language models for information retrieval
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ICASSP
2008
IEEE
14 years 2 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...
CIKM
2010
Springer
13 years 6 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
CIKM
2005
Springer
14 years 1 months ago
Document quality models for web ad hoc retrieval
The quality of document content, which is an issue that is usually ignored for the traditional ad hoc retrieval task, is a critical issue for Web search. Web pages have a huge var...
Yun Zhou, W. Bruce Croft
INEX
2004
Springer
14 years 1 months ago
If INEX Is the Answer, What Is the Question?
The INEX query languages allow the extraction of fragments from selected documents. This power is not much used in INEX queries. The paper suggests reasons why, and considers which...
Richard A. O'Keefe
SIGIR
2006
ACM
14 years 1 months ago
Improving the estimation of relevance models using large external corpora
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Fernando Diaz, Donald Metzler