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Inferring the semantic relationships of words within an ontology using random indexing: applications to pharmacogenomics
The biomedical literature presents a uniquely challenging text mining problem. Sentences are long and complex, the subject matter is highly specialized with a distinct vocabulary, and producing annotated training data for this domain is time consuming and expensive. In this environment, unsupervised...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2013
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3900134/ https://ncbi.nlm.nih.gov/pubmed/24551397 |
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