Lexical acquisition for clinical text mining using distributional similarity

Carroll, John, Koeling, Rob and Puri, Shivani (2012) Lexical acquisition for clinical text mining using distributional similarity. In: Gelbukh, Alexander (ed.) Computational Linguistics and Intelligent Text Processing 13th International Conference, CICLing 2012, New Delhi, India, March 11-17, 2012, Proceedings, Part II. Lecture Notes in Computer Science, 7182 . Springer Verlag, Heidelberg & London, pp. 232-246. ISBN 9783642286001

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We describe experiments into the use of distributional similarity for acquiring lexical information from clinical free text, in particular notes typed by primary care physicians (general practitioners). We also present a novel approach to lexical acquisition from ‘sensitive’ text, which does not require the text to be manually anonymised – a very expensive process – and therefore allows much larger datasets to be used than would normally be possible.

Item Type: Book Section
Schools and Departments: Brighton and Sussex Medical School > Primary Care and Public Health
School of Engineering and Informatics > Informatics
Subjects: R Medicine
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Depositing User: Jessica Stockdale
Date Deposited: 14 Aug 2012 09:57
Last Modified: 14 Aug 2012 09:57
URI: http://srodev.sussex.ac.uk/id/eprint/40381

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