@InProceedings{li-EtAl:2017:I17-12,
  author    = {Li, Yanran  and  Su, Hui  and  Shen, Xiaoyu  and  Li, Wenjie  and  Cao, Ziqiang  and  Niu, Shuzi},
  title     = {DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {986--995},
  abstract  = {We develop a high-quality multi-turn dialog dataset, \textbf{DailyDialog},
	which is intriguing in several aspects. The language is human-written and less
	noisy. The dialogues in the dataset reflect our daily communication way and
	cover various topics about our daily life. We also manually label the developed
	dataset with communication intention and emotion information. Then, we evaluate
	existing approaches on DailyDialog dataset and hope it benefit the research
	field of dialog systems. The dataset is available on
	http://yanran.li/dailydialog},
  url       = {http://www.aclweb.org/anthology/I17-1099}
}