@InProceedings{herzig-EtAl:2017:INLG2017,
  author    = {Herzig, Jonathan  and  Shmueli-Scheuer, Michal  and  Sandbank, Tommy  and  Konopnicki, David},
  title     = {Neural Response Generation for Customer Service based on Personality Traits},
  booktitle = {Proceedings of the 10th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2017},
  address   = {Santiago de Compostela, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {252--256},
  abstract  = {We present a neural response generation model that generates responses
	conditioned on a target personality. The model learns high level features based
	on the target personality, and uses them to update its hidden state. Our model
	achieves performance improvements in both perplexity and BLEU scores over a
	baseline sequence-to-sequence model, and is validated by human judges.},
  url       = {http://www.aclweb.org/anthology/W17-3541}
}