Bean C A, Rindflesch T C, Sneiderman C A
National Library of Medicine, Bethesda, MD 20894, USA.
Proc AMIA Symp. 1998:897-901.
A set of semantic interpretation rules to link the syntax and semantics of locative relationships among anatomic entities was developed and implemented in a natural language processing system. Two experiments assessed the ability of the system to identify and characterize physico-spatial relationships in coronary angiography reports. Branching relationships were by far the most common observed (75%), followed by PATH (20%) and PART/WHOLE relationships. Recall and precision scores were 0.78 and 0.67 overall, suggesting the viability of this approach in semantic processing of clinical text.
开发了一套语义解释规则，用于将解剖实体之间位置关系的句法和语义联系起来，并在一个自然语言处理系统中得以实现。两项实验评估了该系统识别和描述冠状动脉造影报告中物理空间关系的能力。到目前为止，分支关系是最常观察到的（75%），其次是路径关系（20%）和部分/整体关系。总体召回率和精确率分别为0.78和0.67，表明这种方法在临床文本语义处理中的可行性。
