Causality extraction is a rapidly evolving subfield of natural language processing that focuses on the identification and analysis of cause–effect relationships within unstructured textual data. This ...
A curated set of 1,000 BC Cancer clinical documents with concentrated SDoH information served as the reference standard for training and evaluating NLP models. Two pipelines were used: an open-source ...
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