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» A new robust relevance model in the language model framework
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ACL
2010
13 years 6 months ago
Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages
In a previous work of ours Chinnakotla et al. (2010) we introduced a novel framework for Pseudo-Relevance Feedback (PRF) called MultiPRF. Given a query in one language called Sour...
Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bh...
SIGIR
2006
ACM
14 years 2 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
SIGIR
2008
ACM
13 years 8 months ago
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
Zuobing Xu, Ram Akella
SIGIR
2010
ACM
14 years 14 days ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
KI
2010
Springer
13 years 3 months ago
Focused Belief Revision as a Model of Fallible Relevance-Sensitive Perception
We present a framework for incorporating perception-induced beliefs into the knowledge base of a rational agent. Normally, the agent accepts the propositional content of perception...
Haythem O. Ismail, Nasr Kasrin