@InProceedings{zhang-EtAl:2018:C18-13,
  author    = {Zhang, Weinan  and  Cui, Yiming  and  Wang, Yifa  and  Zhu, Qingfu  and  Li, Lingzhi  and  Zhou, Lianqiang  and  Liu, Ting},
  title     = {Context-Sensitive Generation of Open-Domain Conversational Responses},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {2437--2447},
  abstract  = {Despite the success of existing works on single-turn conversation generation, taking the coherence in consideration, human conversing is actually a context-sensitive process. Inspired by the existing studies, this paper proposed the static and dynamic attention based approaches for context-sensitive generation of open-domain conversational responses. Experimental results on two public datasets show that the proposed static attention based approach outperforms all the baselines on automatic and human evaluation.},
  url       = {http://www.aclweb.org/anthology/C18-1206}
}