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Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-predicate-object triples. We consider the manually ass...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765595/ https://ncbi.nlm.nih.gov/pubmed/26958228 |
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