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BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 2 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
LREC
2010
133views Education» more  LREC 2010»
13 years 9 months ago
Towards a Learning Approach for Abbreviation Detection and Resolution
The explosion of biomedical literature and with it the -uncontrolled- creation of abbreviations presents some special challenges for both human readers and computer applications. ...
Klaar Vanopstal, Bart Desmet, Véronique Hos...
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base
Background: The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information ...
Jiye Ai, Barry Smith, Wong T. David
BMCBI
2008
139views more  BMCBI 2008»
13 years 7 months ago
Abbreviation definition identification based on automatic precision estimates
Background: The rapid growth of biomedical literature presents challenges for automatic text processing, and one of the challenges is abbreviation identification. The presence of ...
Sunghwan Sohn, Donald C. Comeau, Won Kim, W. John ...