Biomedical word sense disambiguation with ontologies and metadata: automation meets accuracy

BACKGROUND: Ontology term labels can be ambiguous and have multiple senses. While this is no problem for human annotators, it is a challenge to automated methods, which identify ontology terms in text. Classical approaches to word sense disambiguation use co-occurring words or terms. However, most t...

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Detalles Bibliográficos
Autores principales: Alexopoulou, Dimitra, Andreopoulos, Bill, Dietze, Heiko, Doms, Andreas, Gandon, Fabien, Hakenberg, Jörg, Khelif, Khaled, Schroeder, Michael, Wächter, Thomas
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2663782/
https://www.ncbi.nlm.nih.gov/pubmed/19159460
http://dx.doi.org/10.1186/1471-2105-10-28

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2663782/
https://www.ncbi.nlm.nih.gov/pubmed/19159460
http://dx.doi.org/10.1186/1471-2105-10-28

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