@InProceedings{ortega-vu:2017:W17-55,
  author    = {Ortega, Daniel  and  Vu, Ngoc Thang},
  title     = {Neural-based Context Representation Learning for Dialog Act Classification},
  booktitle = {Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue},
  month     = {August},
  year      = {2017},
  address   = {Saarbrücken, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {247--252},
  abstract  = {We explore context representation learning methods in neural-based models for
	dialog act classification. We propose and compare extensively different methods
	which combine recurrent neural network architectures and attention mechanisms
	(AMs) at different context levels. Our experimental results on two benchmark
	datasets show consistent improvements compared to the models without
	contextual information and reveal that the most suitable AM in the architecture
	depends on the nature of the dataset.},
  url       = {http://aclweb.org/anthology/W17-5530}
}