Sebastian Zeki
Sebastian Zeki
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Natural Language Processing
ARGENT: Automatic Reference-free Evaluation for Open-Ended Text Generation without Source Inputs
Improving Barrett’s Oesophagus Surveillance Scheduling with Large Language Models: A Structured Extraction Approach
Automated decision making in Barrett’s oesophagus: development and deployment of a natural language processing tool
Generation and Evaluation of Synthetic Endoscopy Free-Text Reports with Differential Privacy
Joint Entity and Relation Extraction in Medical Text
EndoMineR for the extraction of endoscopic and associated pathology data from medical reports
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