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» Tipster MUC-5: information extraction system evaluation
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CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 10 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
15 years 4 months ago
Text Mining in Radiology Reports
Medical text mining has gained increasing interest in recent years. Radiology reports contain rich information describing radiologist’s observations on the patient’s medical c...
Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng K...
HICSS
2003
IEEE
173views Biometrics» more  HICSS 2003»
15 years 3 months ago
An Activity-Based Model of Collective Knowledge
In the challenges faced by organisations in the area of knowledge management, there is clearly a role for information and communications technologies in supporting the exploitatio...
Helen Hasan
BMCBI
2005
87views more  BMCBI 2005»
14 years 10 months ago
BioCreAtIvE Task 1A: gene mention finding evaluation
Background: The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on...
Alexander S. Yeh, Alexander A. Morgan, Marc E. Col...
PSB
2010
14 years 8 months ago
Synthesis of Pharmacokinetic Pathways through Knowledge Acquisition and Automated Reasoning
teness of the knowledge bases, our approach also obtains facts through automated extraction from Medline abstracts. An essential component of our approach is to apply logical reaso...
Luis Tari, Saadat Anwar, Shanshan Liang, Jörg...