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A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation
We consider the task of automatically annotating free texts describing clinical trials with concepts from a controlled, structured medical vocabulary. Specifically we aim to build a model to infer distinct sets of (ontological) concepts describing complementary clinically salient aspects of the unde...
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| I publikationen: | Proc ACM Int Conf Inf Knowl Manag |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5752318/ https://ncbi.nlm.nih.gov/pubmed/29308293 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3132847.3132989 |
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