Contributions to Proceedings:
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,
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.
sentiment analysis, PICO, medical corpus, annotation
Created from the Publication Database of the Vienna University of Technology.