A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set

The information extraction from unstructured text segments is a complex task. Although manual information extraction often produces the best results, it is harder to manage biomedical data extraction manually because of the exponential increase in data size. Thus, there is a need for automatic tools...

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Detalles Bibliográficos
Autores principales: Muzaffar, Abdul Wahab, Azam, Farooque, Qamar, Usman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546954/
https://www.ncbi.nlm.nih.gov/pubmed/26347797
http://dx.doi.org/10.1155/2015/910423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546954/
https://www.ncbi.nlm.nih.gov/pubmed/26347797
http://dx.doi.org/10.1155/2015/910423

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