Output details
11 - Computer Science and Informatics
University of Sheffield
Article title
Building a semantically annotated corpus of clinical texts
Type
D - Journal article
Title of journal
Journal of Biomedical Informatics
Article number
-
Volume number
42
Issue number
5
First page of article
950
ISSN of journal
15320464
Year of publication
2009
URL
-
Number of additional authors
6
Additional information
<22> This paper [GoogleScholar:44] describes work developing a corpus of annotated medical records, to enable information extraction research within the MRC-funded Clinical E-Science Framework project (CLEF). The annotation scheme, developed with clinicians, is the semantically richest yet created for clinical text. The work led to an invitation to join the American Medical Information Association working group on clinical annotation and informed work on clinical IE at the University of Pittsburgh (Wendy Chapman <wwchapman@ucsd.edu>). The approach was used in the EU FP7 projects LarKC and Khreshmoi and by Merck in creating a pharmacovigilance corpus.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
23
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
