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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Abstract

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
Related URLs:
Depositing User: Jessica Stockdale
Date Deposited: 14 Aug 2012 09:57
Last Modified: 14 Aug 2012 09:57
URI: http://sro.sussex.ac.uk/id/eprint/40381

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