Enriching a biomedical event corpus with meta-knowledge annotation

Background Biomedical papers contain rich information about entities, facts and events of biological relevance. To discover these automatically, we use text mining techniques, which rely on annotated corpora for training. In order to extract protein-protein interactions, genotype-phenotype/gene-dise...

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Veröffentlicht in:	BMC bioinformatics Jg. 12; H. 1; S. 393
Hauptverfasser:	Thompson, Paul, Nawaz, Raheel, McNaught, John, Ananiadou, Sophia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 10.10.2011 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Analysis Bioinformatics Biological diversity Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data Mining Database Management Systems Humans Indexing in process Information Storage and Retrieval Information Systems Knowledge Life Sciences Microarrays Networks analysis Physiological aspects Protein-protein interactions Research Article Semantics Training United Kingdom Annotation Guideline Annotation Task Annotation Scheme Annotation Dimension Knowledge Type
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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