@InProceedings{tran-haffari-zukerman:2017:Short,
  author    = {Tran, Quan Hung  and  Haffari, Gholamreza  and  Zukerman, Ingrid},
  title     = {A Generative Attentional Neural Network Model for Dialogue Act Classification},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {524--529},
  abstract  = {We propose a novel generative neural network architecture for Dialogue Act
	classification. Building upon the Recurrent Neural Network framework, our model
	incorporates a novel attentional technique and a label to label connection for
	sequence learning, akin to Hidden Markov Models. The experiments show that both
	of these innovations lead  our model to outperform strong baselines for
	dialogue act classification on MapTask and Switchboard corpora. We further
	empirically analyse the effectiveness of each of the new innovations.},
  url       = {http://aclweb.org/anthology/P17-2083}
}