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Automatic extraction of semantic relations between medical entities: a rule based approach
BACKGROUND: Information extraction is a complex task which is necessary to develop high-precision information retrieval tools. In this paper, we present the platform MeTAE (Medical Texts Annotation and Exploration). MeTAE allows (i) to extract and annotate medical entities and relationships from med...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BioMed Central
2011
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3239304/ https://ncbi.nlm.nih.gov/pubmed/22166723 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2041-1480-2-S5-S4 |
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