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» An Information Retrieval Approach to Sense Ranking
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CLEF
2010
Springer
13 years 9 months ago
Blind Relevance Feedback for the ImageCLEF Wikipedia Retrieval Task
In this paper we will describe Berkeley's approach to the ImageCLEF Wikipedia Retrieval task for 2010. Our approach to this task was primarily to use text-based searches on th...
Ray R. Larson
CLEF
2009
Springer
13 years 9 months ago
Information Retrieval Baselines for the ResPubliQA Task
This paper describes the baselines proposed for the ResPubliQA 2009 task. These baselines are purely based on information retrieval techniques. The selection of an adequate retrie...
Joaquín Pérez-Iglesias, Guillermo Ga...
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Semantic Retrieval with Enhanced Matchmaking and Multi-Modality Ontology
This paper presents a method for automatically annotating and retrieving animal images. Our model is a multi-modality ontology extended from our previous works in the sense that b...
Huan Wang, Liang-Tien Chia, Song Liu
CIKM
2009
Springer
14 years 3 months ago
Utilizing inter-passage and inter-document similarities for re-ranking search results
We present a novel language-model-based approach to reranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information ...
Eyal Krikon, Oren Kurland, Michael Bendersky
CIKM
2009
Springer
14 years 3 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...