Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results
2014 (English)In: Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR), Stroudsburg, USA: Association for Computational Linguistics, 2014, 74-83 p.Conference paper (Refereed)
This paper describes part of an ongoing effort to improve the readability of Swedish electronic health records (EHRs). An EHR contains systematic documentation of a single patient’s medical history across time, entered by healthcare professionals with the purpose of enabling safe and informed care. Linguistically, medical records exemplify a highly specialised domain, which can be superficially characterised as having telegraphic sentences involving displaced or missing words, abundant abbreviations, spelling variations including misspellings, and terminology. We report results on lexical simplification of Swedish EHRs, by which we mean detecting the unknown, out-ofdictionary words and trying to resolve them either as compounded known words, abbreviations or misspellings.
Place, publisher, year, edition, pages
Stroudsburg, USA: Association for Computational Linguistics, 2014. 74-83 p.
Language Technology (Computational Linguistics) Information Systems
Research subject Computational Linguistics
IdentifiersURN: urn:nbn:se:su:diva-105855ISBN: 978-1-937284-91-6OAI: oai:DiVA.org:su-105855DiVA: diva2:732893
European Chapter of ACL (EACL), 26-30 April, 2014, Gothenburg, Sweden