REAL
MagyarClear Cookie - decide language by browser settings

Identifying and clustering relevant terms in clinical records using unsupervised methods

Siklósi, Borbála and Novák, Attila (2014) Identifying and clustering relevant terms in clinical records using unsupervised methods. In: Statistical Language and Speech Processing, Second International Conference, SLSP 2014. Lecture Notes in Artificial Intelligence (8791). Springer, Berlin; Heidelberg, pp. 233-243. ISBN 978-3-319-11397-5

[img] Text
284322.pdf
Restricted to Repository staff only
Download (256kB) | Request a copy
Item Type: Book Section
Subjects: Z Bibliography. Library Science. Information Resources / könyvtártudomány > Z665 Library Science. Information Science / könyvtártudomány, információtudomány
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 16 Feb 2015 13:51
Last Modified: 16 Feb 2015 13:51
URI: http://real.mtak.hu/id/eprint/21878

Actions (login required)

Edit Item Edit Item
EPrints Logo
Repository of the Academy's Library is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.