ID  - loza10mlie
T1  - An Evaluation of Multilabel Classification for the Automatic Annotation of Texts
A1  - Loza Mencía, Eneldo
ED  - Atzmüller, Martin
ED  - Benz, Dominik
ED  - Hotho, Andreas
ED  - Stumme, Gerd
TI  - Proceedings of the LWA 2010: Lernen, Wissen, Adaptivität, Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML 2010)
Y1  - 2010
SP  - 121
EP  - 123
CY  - Kassel
UR  - http://www.kde.cs.uni-kassel.de/conf/lwa10/papers/kdml11.pdf
N2  - This article presents the formulation of an information extraction as a multilabel classification problem. This representation allows for exploiting annotation overlappings and correlations. The standard multiclass approach is compared to different multilabel classification algorithms.
ER  -