患者友好型临床笔记:迈向新的文本简化数据集

Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) Pub Date : 1900-01-01 DOI:10.18653/v1/2022.tsar-1.3

Jan Trienes, Jörg Schlötterer, H. Schildhaus, C. Seifert

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引用次数: 9

摘要

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

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.

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Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)

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