title: Semantic relations asserting the etiology of genetic diseases.
abstract: 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.
authors.affiliation: National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20894, USA.
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Rindflesch
authors.forename: Bisharah
authors.initials: B
authors.lastname: Libbus
authors.forename: Dimitar
authors.initials: D
authors.lastname: Hristovski
authors.forename: Alan R
authors.initials: AR
authors.lastname: Aronson
authors.forename: Halil
authors.initials: H
authors.lastname: Kilicoglu
mesh_terms: 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