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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...
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| Publicado no: | Proc Conf |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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