Semantic relations asserting the etiology of genetic diseases.
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.
Rindflesch
Thomas C
TC
National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20894, USA.
Libbus
Bisharah
B
Hristovski
Dimitar
D
Aronson
Alan R
AR
Kilicoglu
Halil
H
D003196:Computer Graphics; D005796:Genes; D030342:Genetic Diseases, Inborn / Q000209:etiology*; D006801:Humans; D016247:Information Storage and Retrieval; D008037:Linguistics; D016239:MEDLINE; D008967:Molecular Biology; D009323:Natural Language Processing; D012660:Semantics; D017432:Unified Medical Language System