Rindflesch Thomas C, Libbus Bisharah, Hristovski Dimitar, Aronson Alan R, Kilicoglu Halil
National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20894, USA.
AMIA Annu Symp Proc. 2003;2003:554-8.
Considerable research is being directed at extracting molecular biology information from text. Particularly challenging in this regard is to identify relations between entities, such as protein-protein interactions or molecular pathways. In this paper we present a natural language processing method for extracting causal relations between genetic phenomena and diseases. After presenting the results of preliminary evaluation, we suggest the use of a graphical display application for viewing the semantic predications produced by the system.
大量研究致力于从文本中提取分子生物学信息。在这方面，特别具有挑战性的是识别实体之间的关系，例如蛋白质-蛋白质相互作用或分子途径。在本文中，我们提出了一种用于提取遗传现象与疾病之间因果关系的自然语言处理方法。在展示初步评估结果之后，我们建议使用图形显示应用程序来查看系统生成的语义谓词。
