Towards objectively evaluating the quality of generated medical summaries
We propose a method for evaluating the quality of generated text by asking evaluators to count facts, and computing precision, recall, f-score, and accuracy from the raw counts. We believe this approach leads to a more objective and easier to reproduce evaluation. We apply this to the task of medical report summarisation, where measuring objective quality and accuracy is of paramount importance.
PDF Abstract EACL (HumEval) 2021 PDF EACL (HumEval) 2021 AbstractTasks
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