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» Biomedical Retrieval: How Can a Thesaurus Help
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BMCBI
2010
113views more  BMCBI 2010»
13 years 8 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
JAMIA
2011
98views more  JAMIA 2011»
12 years 10 months ago
Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network
Background Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management....
Jyotishman Pathak, Janey Wang, Sudha Kashyap, Meli...
ERCIMDL
2006
Springer
155views Education» more  ERCIMDL 2006»
13 years 11 months ago
SIERRA - A Superimposed Application for Enhanced Image Description and Retrieval
In this demo proposal, we describe our prototype application, SIERRA, which combines text-based and content-based image retrieval and allows users to link together image content of...
Uma Murthy, Ricardo da Silva Torres, Edward A. Fox
ICAIL
2003
ACM
14 years 1 months ago
Concept Extraction from Legal Cases: The Use of a Statistic of Coincidence
Effective retrieval of court decisions is important. Automatically identifying legal concepts in the decision texts would be very helpful. In this paper we investigate how a stat...
Marie-Francine Moens, Roxana Angheluta
IR
2010
13 years 6 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li