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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi Publishing Corporation
2015
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| 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 |