Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset

Jan Trienes, Jörg Schlötterer, H. Schildhaus, C. Seifert
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引用次数: 9

Abstract

Automatic text simplification can help patients to better understand their own clinical notes. A major hurdle for the development of clinical text simplification methods is the lack of high quality resources. We report ongoing efforts in creating a parallel dataset of professionally simplified clinical notes. Currently, this corpus consists of 851 document-level simplifications of German pathology reports. We highlight characteristics of this dataset and establish first baselines for paragraph-level simplification.
患者友好型临床笔记:迈向新的文本简化数据集
自动简化文本可以帮助患者更好地理解自己的临床记录。临床文本简化方法发展的主要障碍是缺乏高质量的资源。我们报告正在努力创建一个专业简化临床记录的并行数据集。目前,该语料库由851个德语病理报告的文档级简化组成。我们突出了该数据集的特征,并为段落级简化建立了第一个基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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