论文标题
基于语法的否定和语义概念识别，临床文本摘要
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
论文作者
论文摘要
在临床信息爆炸时代，临床文本摘要的一个好策略有助于改善临床工作流程。理想的摘要策略可以保留信息丰富但组织不足的临床叙事文本中的重要信息。我们没有使用难以解释和解释的纯统计学习方法，而是利用人类专家策划的生物医学知识基础的计算语言学知识来实现可解释且有意义的临床文本总结。我们的研究目标是将生物医学本体论带有语义信息，并从语言等级结构（组成树）中获得优势，以确定正确的临床概念和相应的否定信息，这对于总结叙事文本的临床概念至关重要。我们实现了否定检测和概念识别的临床可接受性能，并且可以通过提出的方法识别和否定具有共同否定模式的临床概念。
In the era of clinical information explosion, a good strategy for clinical text summarization is helpful to improve the clinical workflow. The ideal summarization strategy can preserve important information in the informative but less organized, ill-structured clinical narrative texts. Instead of using pure statistical learning approaches, which are difficult to interpret and explain, we utilized knowledge of computational linguistics with human experts-curated biomedical knowledge base to achieve the interpretable and meaningful clinical text summarization. Our research objective is to use the biomedical ontology with semantic information, and take the advantage from the language hierarchical structure, the constituency tree, in order to identify the correct clinical concepts and the corresponding negation information, which is critical for summarizing clinical concepts from narrative text. We achieved the clinically acceptable performance for both negation detection and concept identification, and the clinical concepts with common negated patterns can be identified and negated by the proposed method.
