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%0 Conference Proceedings
%T Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment
%A Uzdilli, Fatih
%A Jaggi, Martin
%A Egger, Dominic
%A Julmy, Pascal
%A Derczynski, Leon
%A Cieliebak, Mark
%Y Nakov, Preslav
%Y Zesch, Torsten
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
%D 2015
%8 June
%I Association for Computational Linguistics
%C Denver, Colorado
%F uzdilli-etal-2015-swiss
%R 10.18653/v1/S15-2101
%U https://aclanthology.org/S15-2101
%U https://doi.org/10.18653/v1/S15-2101
%P 608-612

Markdown (Informal)

[Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment](https://aclanthology.org/S15-2101) (Uzdilli et al., SemEval 2015)

• Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment (Uzdilli et al., SemEval 2015)

ACL

• Fatih Uzdilli, Martin Jaggi, Dominic Egger, Pascal Julmy, Leon Derczynski, and Mark Cieliebak. 2015. Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 608–612, Denver, Colorado. Association for Computational Linguistics.