Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment.
2015
Details
Title
Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment.
Author(s)
Uzdilli, Fatih ; Jaggi, Martin ; Egger, Dominic ; Julmy, Pascal ; Derczynski, Leon ; Cieliebak, Mark
Published in
Proceedings of the 9th International Workshop on Semantic Evaluation
Pages
608-612
Conference
SemEval@NAACL-HLT 2015, Denver, Colorado, USA, June 4-5, 2015
Date
2015
Additional link
URL
Laboratories
MLO
Record Appears in
Scientific production and competences > I&C - School of Computer and Communication Sciences > IINFCOM > MLO - Machine Learning and Optimization Laboratory
Peer-reviewed publications
Work outside EPFL
Conference Papers
Published
Peer-reviewed publications
Work outside EPFL
Conference Papers
Published
Record creation date
2017-06-21