Work

Integrating a hypernymic proposition interpreter into a semantic processor for biomedical texts.

Year: 2003

Type: article

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.

Source: Europe PMC (PubMed Central)

Authors: Marcelo Fiszman, Thomas C Rindflesch, Halil Kilicoglu

Institutions: National Institutes of Health, United States National Library of Medicine

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W40421765

FWCI: 0.527

Cites: 19

Cited by: 20

Related to: 10