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A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models
We present a neural pipeline approach that performs named entity recognition (NER) and concept indexing (CI), which links them to concept unique identifiers (CUIs) in a knowledge base, for the PharmaCoNER shared task on pharmaceutical drugs and chemical entities.
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