A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf
.
MedScan, a natural language processing engine for MEDLINE abstracts
2003
Bioinformatics
Motivation: The importance of extracting biomedical information from scientific publications is well recognized. A number of information extraction systems for the biomedical domain have been reported, but none of them have become widely used in practical applications. Most proposals to date make rather simplistic assumptions about the syntactic aspect of natural language. There is an urgent need for a system that has broad coverage and performs well in real-text applications. Results: We
doi:10.1093/bioinformatics/btg207
pmid:12967967
fatcat:hveymgrtorcqffiddydmbteqvi