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» A survey of current work in biomedical text mining
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CICLING
2007
Springer
15 years 1 months ago
Rule-Based Protein Term Identification with Help from Automatic Species Tagging
In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...
Xinglong Wang
81
Voted
BMCBI
2005
106views more  BMCBI 2005»
14 years 9 months ago
Thesaurus-based disambiguation of gene symbols
Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
86
Voted
ISRR
2001
Springer
119views Robotics» more  ISRR 2001»
15 years 2 months ago
Field Robots
Field Robots are machines that work in unstructured environments, including under water, in mines, in forests and on farms, and in the air. These applications involve both advance...
Chuck Thorpe, Hugh F. Durrant-Whyte
72
Voted
BMCBI
2005
87views more  BMCBI 2005»
14 years 9 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...
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
15 years 1 months ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan