BriefGPT.xyz
May, 2019
本体感知的临床抽象摘要
Ontology-Aware Clinical Abstractive Summarization
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Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish Talati...
TL;DR
通过添加领域特定本体信息增强内容选择和摘要生成,我们的序列到序列抽象式摘要模型的应用于放射学报告数据集,能够显著优于当前最先进的方法,同时经过放射学家的人类评估,表明该方法生成的摘要不太可能省略重要细节,而且读起来依然具有可读性和准确性。
Abstract
Automatically generating accurate summaries from clinical reports could save a clinician's time, improve summary coverage, and reduce errors. We propose a sequence-to-sequence
abstractive summarization
model augmented with domain-specific
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