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Extracting Adverse Drug Event Information with Minimal Engineering
In this paper we describe an evaluation of the potential of classical information extraction methods to extract drug-related attributes, including adverse drug events, and compare to more recently developed neural methods. We use the 2018 N2C2 shared task data as our gold standard data set for train...
Guardat en:
| Publicat a: | Proc Conf |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8140592/ https://ncbi.nlm.nih.gov/pubmed/34027520 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18653/v1/w19-1903 |
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