Linked Life Data

10902199

Source:http://linkedlifedata.com/resource/pubmed/id/10902199

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2000-8-29
pubmed:abstractText
EDGAR (Extraction of Drugs, Genes and Relations) is a natural language processing system that extracts information about drugs and genes relevant to cancer from the biomedical literature. This automatically extracted information has remarkable potential to facilitate computational analysis in the molecular biology of cancer, and the technology is straightforwardly generalizable to many areas of biomedicine. This paper reports on the mechanisms for automatically generating such assertions and on a simple application, conceptual clustering of documents. The system uses a stochastic part of speech tagger, generates an underspecified syntactic parse and then uses semantic and pragmatic information to construct its assertions. The system builds on two important existing resources: the MEDLINE database of biomedical citations and abstracts and the Unified Medical Language System, which provides syntactic and semantic information about the terms found in biomedical abstracts.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1793-5091
pubmed:author
pubmed:issnType
Print
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
517-28
pubmed:dateRevised
2011-9-26
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
EDGAR: extraction of drugs, genes and relations from the biomedical literature.
pubmed:affiliation
Lister Hill Center, National Library of Medicine, Bethesda, MD 20894, USA. tcr@lhc.nlm.nih.gov
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.