ABOP, Automatic Optimization of Patient Information Leaflets
- Publication type
- C1
- Publication status
- Published
- Authors
- Delaere, I., Hoste, V., Peersman, C., Van Vaerenbergh, L., & Velaerts, P.
- Editor
- S. Cardey
- Series
- Proceedings of the International Symposium on Data and Sense Mining, Machine Translation and Controlled Languages
- Pagination
- 74-81
- Publisher
- Presses Universitaires De Franche-Comté (Besançon, France)
- Download
-
(.pdf)
- Project
- ABOP
Abstract
ABOP, an Automatic optimizer for Patient Information Leaflets (PILs), aims to improve the readability of Dutch PILs by tackling three of the issues that make a PIL hard to read: the scientific terminology used, the redundancy which makes a PIL needlessly lengthy and the overlap between illocutionary acts which often make no distinction between an instruction, a warning and mere informative text. ABOP combines a highly accurate learning-based terminology extraction web service with an application that can be plugged into Microsoft Word and easily used by PIL authors.