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» Discovering Hidden Knowledge from Biomedical Literature
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BMCBI
2007
151views more  BMCBI 2007»
13 years 7 months ago
A comparison study on algorithms of detecting long forms for short forms in biomedical text
Motivation: With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building litera...
Manabu Torii, Zhang-Zhi Hu, Min Song, Cathy H. Wu,...
COLING
2008
13 years 9 months ago
Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns
This paper proposes an other-anaphora resolution approach in bio-medical texts. It utilizes automatically mined patterns to discover the semantic relation between an anaphor and a...
Bin Chen, Xiaofeng Yang, Jian Su, Chew Lim Tan
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
BMCBI
2008
141views more  BMCBI 2008»
13 years 7 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...
HICSS
2003
IEEE
182views Biometrics» more  HICSS 2003»
14 years 25 days ago
Business Intelligence Explorer: A Knowledge Map Framework for Discovering Business Intelligence on the Web
Nowadays, information overload hinders the discovery of business intelligence on the World Wide Web. Existing business intelligence tools suffer from a lack of analysis and visual...
Wingyan Chung, Hsinchun Chen, Jay F. Nunamaker