@inproceedings{dcdeb2a3d28e414f9dc0b458d52b7479,
title = "Lexical acquisition for clinical text mining using distributional similarity",
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.",
author = "John Carroll and Rob Koeling and Shivani Puri",
year = "2012",
doi = "10.1007/978-3-642-28601-8\_20",
language = "Ingl{\'e}s",
isbn = "9783642286001",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "232--246",
booktitle = "Computational Linguistics and Intelligent Text Processing - 13th International Conference, CICLing 2012, Proceedings",
edition = "PART 2",
note = "13th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2012 ; Conference date: 11-03-2012 Through 17-03-2012",
}