Negation detection in Swedish clinical text: An adaption of NegEx to Swedish
2011 (English)In: Journal of Biomedical Semantics, ISSN 2041-1480, Vol. 2, no S3, 1-12 p.Article in journal (Refereed) Published
Background: Most methods for negation detection in clinical text have been developed for English text, and there is a need for evaluating the feasibility of adapting these methods to other languages. A Swedish adaption of the English rule-based negation detection system NegEx, which detects negations through the use of trigger phrases, was therefore evaluated. Results: The Swedish adaption of NegEx showed a precision of 75.2% and a recall of 81.9%, when evaluated on 558 manually classified sentences containing negation triggers, and a negative predictive value of 96.5% when evaluated on 342 sentences not containing negation triggers. Conclusions: The precision was significantly lower for the Swedish adaptation than published results for the English version, but since many negated propositions were identified through a limited set of trigger phrases, it could nevertheless be concluded that the same trigger phrase approach is possible in a Swedish context, even though it needs to be further developed. Availability: The triggers used for the evaluation of the Swedish adaption of NegEx are available at http://people.dsv.su.se/~mariask/resources/triggers.txt and can be used together with the original NegEx program for negation detection in Swedish clinical text.
Place, publisher, year, edition, pages
2011. Vol. 2, no S3, 1-12 p.
Negation detection, NLP, Medical informatics
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-62353DOI: 10.1186/2041-1480-2-S3-S3OAI: oai:DiVA.org:su-62353DiVA: diva2:441278
Second Louhi Workshop on Text and Data Mining of Health Documents, Los Angeles, CA, USA, 05 June 2010