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JUCS
2007
106views more  JUCS 2007»
13 years 5 months ago
An Ontology-based Approach to Support Text Mining and Information Retrieval in the Biological Domain
: This paper describes an ontology-based approach aiming at helping biologists to annotate their documents and at facilitating their information retrieval task. Our approach, based...
Khaled Khelif, Rose Dieng-Kuntz, Pascal Barbry
BMCBI
2006
151views more  BMCBI 2006»
13 years 5 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
SIGIR
2009
ACM
14 years 8 days ago
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
Xiangji Huang, Qinmin Hu
PKDD
2005
Springer
161views Data Mining» more  PKDD 2005»
13 years 11 months ago
Active Sampling for Knowledge Discovery from Biomedical Data
Abstract. We describe work aimed at cost-constrained knowledge discovery in the biomedical domain. To improve the diagnostic/prognostic models of cancer, new biomarkers are studied...
Sriharsha Veeramachaneni, Francesca Demichelis, Em...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
13 years 11 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme