@InProceedings{benajiba-EtAl:2017:I17-4,
  author    = {Benajiba, Yassine  and  Sun, Jin  and  Zhang, Yong  and  Weng, Zhiliang  and  Biran, Or},
  title     = {MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction},
  booktitle = {Proceedings of the IJCNLP 2017, Shared Tasks},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {118--123},
  abstract  = {This paper introduces Mainiway AI Labs submitted system for the IJCNLP 2017
	shared task on Dimensional Sentiment Analysis of Chinese Phrases (DSAP), and
	related experiments. Our approach con- sists of deep neural networks with vari-
	ous architectures, and our best system is a voted ensemble of networks. We
	achieve a Mean Absolute Error of 0.64 in valence prediction and 0.68 in arousal
	prediction on the test set, both placing us as the 5th ranked team in the
	competition.},
  url       = {http://www.aclweb.org/anthology/I17-4019}
}