Medical Entity Corpus with PICO elements and Sentiment Analysis

Authors: 
Markus Zlabinger
Linda Andersson
Allan Hanbury
Michael Andersson
Type: 
Proceedings contribution
Proceedings: 
LREC 2018, Eleventh International Conference on Language Resources and Evaluation
Publisher: 
International Conference on Language Resources and Evaluation
Pages: 
292 - 296
Year: 
2018
ISBN: 
ISBN: 979-10-95546-00-9
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

M. Zlabinger, L. Andersson, A. Hanbury, M. Andersson, V. Quasnik, J. Brassey:
"Medical Entity Corpus with PICO elements and Sentiment Analysis";
in: "LREC 2018, Eleventh International Conference on Language Resources and Evaluation", International Conference on Language Resources and Evaluation, 2018, ISBN: 979-10-95546-00-9, S. 292 - 296.

Zusätzliche Informationen

Last changed: 
08.01.2019 09:23:11
Accepted: 
Accepted
TU Id: 
274031
Invited: 
Department Focus: 
Business Informatics
Author List: 
M. Zlabinger, L. Andersson, A. Hanbury, M. Andersson, V. Quasnik, J. Brassey
Abstract German: 
In this paper, we present our process to establish a PICO and a sentiment annotated corpus of clinical trial publications. PICO stands for Population, Intervention, Comparison and Outcome --- these four classes can be used for more advanced and specific search queries. For example, a physician can determine how well a drug works only in the subgroup of children. Additionally to the PICO extraction, we conducted a sentiment annotation, where the sentiment refers to whether the conclusion of a trial was positive, negative or neutral. We created both corpora with the help of medical experts and non-experts as annotators.