TY - GEN
T1 - Lexical acquisition for clinical text mining using distributional similarity
AU - Carroll, John
AU - Koeling, Rob
AU - Puri, Shivani
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84858327660&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28601-8_20
DO - 10.1007/978-3-642-28601-8_20
M3 - Contribución a la conferencia
AN - SCOPUS:84858327660
SN - 9783642286001
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 232
EP - 246
BT - Computational Linguistics and Intelligent Text Processing - 13th International Conference, CICLing 2012, Proceedings
T2 - 13th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2012
Y2 - 11 March 2012 through 17 March 2012
ER -