@InProceedings{wang-EtAl:2016:COLING4,
  author    = {Wang, Zhongqing  and  Zhang, Yue  and  Lee, Sophia  and  Li, Shoushan  and  Zhou, Guodong},
  title     = {A Bilingual Attention Network for Code-switched Emotion Prediction},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1624--1634},
  abstract  = {Emotions in code-switching text can be expressed in either monolingual or
	bilingual forms. However, relatively little research has emphasized on
	code-switching text. In this paper, we propose a Bilingual Attention Network
	(BAN) model to aggregate the monolingual and bilingual informative words to
	form vectors from the document representation, and integrate the attention
	vectors to predict the emotion. The experiments show that the effectiveness of
	the proposed model. Visualization of the attention layers illustrates that the
	model selects qualitatively informative words.},
  url       = {http://aclweb.org/anthology/C16-1153}
}