Borbála Siklósi, Attila Novák. Identifying and Clustering Relevant Terms in Clinical Records Using Unsupervised Methods. In Laurent Besacier, Adrian Horia Dediu, Carlos Martín-Vide, editors, Statistical Language and Speech Processing - Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings. Volume 8791 of Lecture Notes in Computer Science, pages 233-243, Springer, 2014. [doi]
@inproceedings{SiklosiN14, title = {Identifying and Clustering Relevant Terms in Clinical Records Using Unsupervised Methods}, author = {Borbála Siklósi and Attila Novák}, year = {2014}, doi = {10.1007/978-3-319-11397-5_18}, url = {http://dx.doi.org/10.1007/978-3-319-11397-5_18}, researchr = {https://researchr.org/publication/SiklosiN14}, cites = {0}, citedby = {0}, pages = {233-243}, booktitle = {Statistical Language and Speech Processing - Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings}, editor = {Laurent Besacier and Adrian Horia Dediu and Carlos Martín-Vide}, volume = {8791}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-319-11396-8}, }