BioCreative

BioCreAtIvE (A critical assessment of text mining methods in molecular biology) consists in a community-wide effort for evaluating information… (More)
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Papers overview

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Highly Cited
2011
Highly Cited
2011
We report the Gene Normalization (GN) challenge in BioCreative III where participating teams were asked to return a ranked list… (More)
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Review
2011
Review
2011
The overall goal of the BioCreative Workshops is to promote the development of text mining and text processing tools which are… (More)
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Highly Cited
2011
Highly Cited
2011
Determining usefulness of biomedical text mining systems requires realistic task definition and data selection criteria without… (More)
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Highly Cited
2010
Highly Cited
2010
We describe a system for the detection of mentions of protein-protein interactions in the biomedical scientific literature. The… (More)
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Review
2010
Review
2010
We present the results of the BioCreative II.5 evaluation in association with the FEBS Letters experiment, where authors created… (More)
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Highly Cited
2005
Highly Cited
2005
Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to… (More)
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Highly Cited
2005
Highly Cited
2005
The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder… (More)
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Highly Cited
2005
Highly Cited
2005
The Gene Ontology Annotation (GOA) database http://www.ebi.ac.uk/GOA aims to provide high-quality supplementary GO annotation to… (More)
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Review
2005
Review
2005
The goal of the first BioCreAtIvE challenge (Critical Assessment of Information Extraction in Biology) was to provide a set of… (More)
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Review
2005
Review
2005
Our goal in BioCreAtIve has been to assess the state of the art in text mining, with emphasis on applications that reflect real… (More)
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