@InProceedings{qiu-EtAl:2017:Short,
  author    = {Qiu, Minghui  and  Li, Feng-Lin  and  Wang, Siyu  and  Gao, Xing  and  Chen, Yan  and  Zhao, Weipeng  and  Chen, Haiqing  and  Huang, Jun  and  Chu, Wei},
  title     = {AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine},
  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     = {498--503},
  abstract  = {We propose AliMe Chat, an open-domain chatbot engine that integrates the joint
	results of Information Retrieval (IR) and Sequence to Sequence (Seq2Seq) based
	generation models. AliMe Chat uses an attentive Seq2Seq based rerank model to
	optimize the joint results. Extensive experiments show our engine outperforms
	both IR and generation based models. We launch AliMe Chat for a real-world
	industrial application and observe better results than another public chatbot.},
  url       = {http://aclweb.org/anthology/P17-2079}
}