Hahn U, Romacker M
Text Knowledge Engineering Lab, Freiburg University, Germany.
Proc AMIA Annu Fall Symp. 1997:819-23.
We consider the role of textual structures in medical texts. In particular, we examine the impact the lacking recognition of text phenomena has on the validity of medical knowledge bases fed by a natural language understanding front-end. First, we review the results from an empirical study on a sample of medical texts considering, in various forms of local coherence phenomena (anaphora and textual ellipses). We then discuss the representation bias emerging in the text knowledge base that is likely to occur when these phenomena are not dealt with--mainly the emergence of referentially incoherent and invalid representations. We then turn to a medical text understanding system designed to account for local text coherence.
我们考虑文本结构在医学文本中的作用。具体而言，我们研究文本现象识别不足对由自然语言理解前端提供信息的医学知识库有效性的影响。首先，我们回顾一项针对医学文本样本的实证研究结果，该研究考虑了各种形式的局部连贯现象（指代和文本省略）。然后，我们讨论当这些现象未得到处理时，文本知识库中可能出现的表征偏差——主要是指代不连贯和无效表征的出现。接着，我们转向一个旨在处理局部文本连贯的医学文本理解系统。
