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Enhancing Biomedical Text Summarization Using Semantic Relation Extraction
Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently. In this paper, we present a method for generating text summary for a given biomedical concept, e.g., H1N1 disease, from multiple...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3162578/ https://www.ncbi.nlm.nih.gov/pubmed/21887336 http://dx.doi.org/10.1371/journal.pone.0023862 |