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» ProtChew: Automatic Extraction of Protein Names from Biomedi...
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BMCBI
2008
85views more  BMCBI 2008»
14 years 9 months ago
Normalizing biomedical terms by minimizing ambiguity and variability
Background: One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential varia...
Yoshimasa Tsuruoka, John McNaught, Sophia Ananiado...
BMCBI
2005
155views more  BMCBI 2005»
14 years 9 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
BMCBI
2008
153views more  BMCBI 2008»
14 years 9 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
15 years 10 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...