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Semi-Supervised Learning to Identify UMLS Semantic Relations
The UMLS Semantic Network is constructed by experts and requires periodic expert review to update. We propose and implement a semi-supervised approach for automatically identifying UMLS semantic relations from narrative text in PubMed. Our method analyzes biomedical narrative text to collect semanti...
Tallennettuna:
| Julkaisussa: | AMIA Jt Summits Transl Sci Proc |
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| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
American Medical Informatics Association
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4419772/ https://ncbi.nlm.nih.gov/pubmed/25954580 |
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