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Custom Named Entity Recognition and Topic Classification for Global Health Publications
How should natural language processing models be selected and adapted for global health literature in environments where annotated data and computational resources are limited? This thesis investigates these challenges through experiments on semantic tag discovery, named entity recognition (NER), an
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