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Lexical acquisition for clinical text mining using distributional similarity

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posted on 2023-06-08, 12:14 authored by John Carroll, Rob Koeling, Shivani Puri
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.

History

Publication status

  • Published

Journal

Lecture Notes in Computer Science

Publisher

Springer Verlag

Volume

7182

Page range

232-246

Pages

514.0

Event name

13th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'12)

Event location

Delhi, India

Event type

conference

Event date

11 - 17th March 2012

Book title

Computational Linguistics and Intelligent Text Processing 13th International Conference, CICLing 2012, New Delhi, India, March 11-17, 2012, Proceedings, Part II

Place of publication

Heidelberg & London

ISBN

9783642286001

Series

Lecture Notes in Computer Science

Department affiliated with

  • Primary Care and Public Health Publications

Full text available

  • No

Peer reviewed?

  • Yes

Editors

Alexander Gelbukh

Legacy Posted Date

2012-08-14

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