2022
EMNLP
EMNLP 2022
Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset
Abstract
AbstractAutomatic 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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Interdisciplinary Bridge
— Artificial Intelligence and Healthcare & Medicine and Natural Language Processing
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Keyword Pioneer
— clinical text simplification
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Learning Paradigms > Transfer Learning
Natural Language Processing > Generation > Text Generation
Healthcare & Medicine > Clinical > Clinical NLP
Artificial Intelligence > Core AI > Natural Language Processing
Natural Language Processing > Applications > Text Simplification