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» Using Information Extraction to Improve Document Retrieval
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171
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SIGIR
2010
ACM
15 years 9 months ago
Personalizing information retrieval for multi-session tasks: the roles of task stage and task type
Dwell time as a user behavior has been found in previous studies to be an unreliable predictor of document usefulness, with contextual factors such as the user’s task needing to...
Jingjing Liu, Nicholas J. Belkin
AIRS
2008
Springer
15 years 11 months ago
A Semantic Content-Based Retrieval Method for Histopathology Images
This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level ...
Juan C. Caicedo, Fabio A. González, Eduardo...
ECIR
2009
Springer
16 years 2 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
159
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CLEF
2005
Springer
15 years 10 months ago
Dublin City University at CLEF 2005: Experiments with the ImageCLEF St Andrew's Collection
The aim of the Dublin City University’s participation in the CLEF 2005 ImageCLEF St Andrew’s Collection task was to explore an alternative approach to exploiting text annotatio...
Gareth J. F. Jones, Kieran McDonald
AIIA
2005
Springer
15 years 10 months ago
A Semantic Kernel to Exploit Linguistic Knowledge
Abstract. Improving accuracy in Information Retrieval tasks via semantic information is a complex problem characterized by three main aspects: the document representation model, th...
Roberto Basili, Marco Cammisa, Alessandro Moschitt...