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Lexical acquisition for clinical text mining using distributional similarity
chapter
posted on 2023-06-08, 12:14 authored by John Carroll, Rob Koeling, Shivani PuriWe 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.
History
Publication status
- Published
Journal
Lecture Notes in Computer SciencePublisher
Springer VerlagExternal DOI
Volume
7182Page range
232-246Pages
514.0Event name
13th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'12)Event location
Delhi, IndiaEvent type
conferenceEvent date
11 - 17th March 2012Book title
Computational Linguistics and Intelligent Text Processing 13th International Conference, CICLing 2012, New Delhi, India, March 11-17, 2012, Proceedings, Part IIPlace of publication
Heidelberg & LondonISBN
9783642286001Series
Lecture Notes in Computer ScienceDepartment affiliated with
- Primary Care and Public Health Publications
Full text available
- No
Peer reviewed?
- Yes