Machine learning with naturally labeled data for identifying abbreviation definitions

BACKGROUND: The rapid growth of biomedical literature requires accurate text analysis and text processing tools. Detecting abbreviations and identifying their definitions is an important component of such tools. Most existing approaches for the abbreviation definition identification task employ rule...

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Detalles Bibliográficos
Autores principales: Yeganova, Lana, Comeau, Donald C, Wilbur, W John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111592/
https://www.ncbi.nlm.nih.gov/pubmed/21658293
http://dx.doi.org/10.1186/1471-2105-12-S3-S6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111592/
https://www.ncbi.nlm.nih.gov/pubmed/21658293
http://dx.doi.org/10.1186/1471-2105-12-S3-S6

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