title: Integrating a hypernymic proposition interpreter into a semantic processor for biomedical texts.
abstract: Semantic processing provides the potential for producing high quality results in natural language processing (NLP) applications in the biomedical domain. In this paper, we address a specific semantic phenomenon, the hypernymic proposition, and concentrate on integrating the interpretation of such predications into a more general semantic processor in order to improve overall accuracy. A preliminary evaluation assesses the contribution of hypernymic propositions in providing more specific semantic predications and thus improving effectiveness in retrieving treatment propositions in MEDLINE abstracts. Finally, we discuss the generalization of this methodology to additional semantic propositions as well as other types of biomedical texts.
authors.affiliation: National Library of Medicine, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20894, USA.
authors.forename: Marcelo
authors.initials: M
authors.lastname: Fiszman
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Rindflesch
authors.forename: Halil
authors.initials: H
authors.lastname: Kilicoglu
mesh_terms: D000043:Abstracting and Indexing; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D008967:Molecular Biology; D009323:Natural Language Processing; D012660:Semantics