Porting a Rule-based Assertion Classifier for Clinical Text from English to Swedish
2013 (English)In: Proceedings of the 4th International Louhi Workshop on Health Document Text Mining and Information Analysis - Louhi 2013 / [ed] Hanna Suominen, NICTA, Australia's ICT Research Centre of Excellence , 2013Conference paper (Refereed)
An existing rule-based assertion classier is ported from En- glish to Swedish: pyConTextSwe. Evaluation on Swedish clinical texts shows that the English lexical resources are useful, but that there are assertion cues not obtainable in existing resources. Iterative error cor- rection of cue lexicons improves results for the ported classier. Overall nal results are 82% F-score on a development set and 74% on a test set.
Place, publisher, year, edition, pages
NICTA, Australia's ICT Research Centre of Excellence , 2013.
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-95949OAI: oai:DiVA.org:su-95949DiVA: diva2:662482
The 4th International Louhi Workshop on Health Document Text Mining and Information Analysis, Sydney, NSW, Australia, 11-12 February 2013