PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 14728170

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

Marcelo Fiszman·Thomas C Rindflesch·Halil Kilicoglu
View original source ↗Export metadata ↓

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.

Explore related subjects

Abstracting and IndexingInformation Storage and RetrievalMEDLINEMolecular BiologyNatural Language ProcessingSemanticsEvaluation StudyJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Marcelo Fiszman, Thomas C Rindflesch, Halil Kilicoglu. 2003. Integrating a hypernymic proposition interpreter into a semantic processor for biomedical texts.. https://pubmed.ncbi.nlm.nih.gov/14728170/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2006

Journals in surgery and gastroenterology: indexing in databases and bibliometric indicators.

INTRODUCTION: Publishing research results as journal articles is the most common format used by researchers for dissemination of advancements in science. To select where to publish, authors must know how to identify the most recognized journals in each field, adopting quality criteria. PURPOSE: To discuss journal selection criteria and bibliometric indicators for evaluation of scientific production and to analyze the status of indexing of Brazilian and international journals in health science databases, mainly for journals in surgery and gastroenterology fields. RESULTS: The totals of journals indexed in health science databases are presented, highlighting the relative participation of journals in surgery and gastroenterology in each database. CONCLUSION: The decision to publish in a national or international journal should be based on bibliometric indicators and status of indexing in databases, but the objectives of the research must be the main point considered by authors.

Abstracting and Indexing↗
PubMed2006

On the persistence of supplementary resources in biomedical publications.

BACKGROUND: Providing for long-term and consistent public access to scientific data is a growing concern in biomedical research. One aspect of this problem can be demonstrated by evaluating the persistence of supplementary data associated with published biomedical papers. METHODS: We manually evaluated 655 supplementary data links extracted from PubMed abstracts published 1998-2005 (Method 1) as well as a further focused subset of 162 full-text manuscripts published within three representative high-impact biomedical journals between September and December 2004 (Method 2). RESULTS: For Method 1 we found that since 2001, only 71 - 92% of supplementary data were still accessible via the links provided, with 93% of these inaccessible links occurring where supplementary data was not stored with the publishing journal. Of the manuscripts evaluated in Method 2, we found that only 83% of these links were available approximately a year after publication, with 55% of these inaccessible links were at locations outside the journal of publication. CONCLUSION: We conclude that if supplemental data is required to support the publication, journals policies must take-on the responsibility to accept and store such data or require that it be maintained with a credible independent institution or under the terms of a strategic data storage plan specified by the authors. We further recommend that publishers provide automated systems to ensure that supplementary links remain persistent, and that granting bodies such as the NIH develop policies and funding mechanisms to maintain long-term persistent access to these data.

Abstracting and Indexing↗