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» OSIRISv1.2: A named entity recognition system for sequence v...
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BMCBI
2005
151views more  BMCBI 2005»
13 years 4 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
BMCBI
2005
251views more  BMCBI 2005»
13 years 4 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
BMCBI
2006
154views more  BMCBI 2006»
13 years 5 months ago
Automated recognition of malignancy mentions in biomedical literature
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. ...
BMCBI
2008
147views more  BMCBI 2008»
13 years 5 months ago
Assessment of disease named entity recognition on a corpus of annotated sentences
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
Antonio Jimeno-Yepes, Ernesto Jiménez-Ruiz,...