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» Dependence language model for information retrieval
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SIGIR
2009
ACM
14 years 2 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang
CLEF
2005
Springer
14 years 1 months ago
Using the X-IOTA System in Mono- and Bilingual Experiments at CLEF 2005
This document describes the CLIPS experiments in the CLEF 2005 campaign. We used a surface-syntactic parser in order to extract new indexing terms. These terms are considered synta...
Loïc Maisonnasse, Gilles Sérasset, Jea...
CLEF
2004
Springer
13 years 11 months ago
UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models
This paper presents the results of the State University of New York at Buffalo (UB) in the Mono-lingual and Multi-lingual tasks at CLEF 2004. For these tasks we used an approach ba...
Miguel E. Ruiz, Munirathnam Srikanth
IR
2008
13 years 7 months ago
An analysis on document length retrieval trends in language modeling smoothing
Abstract. Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the retrieval of either short or long documents and...
David E. Losada, Leif Azzopardi
SIGIR
2009
ACM
14 years 2 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...