@inproceedings{zhang-etal-2018-context,
title = "Context-Sensitive Generation of Open-Domain Conversational Responses",
author = "Zhang, Weinan and
Cui, Yiming and
Wang, Yifa and
Zhu, Qingfu and
Li, Lingzhi and
Zhou, Lianqiang and
Liu, Ting",
editor = "Bender, Emily M. and
Derczynski, Leon and
Isabelle, Pierre",
booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
month = aug,
year = "2018",
address = "Santa Fe, New Mexico, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/C18-1206",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Context-Sensitive Generation of Open-Domain Conversational Responses
%A Zhang, Weinan
%A Cui, Yiming
%A Wang, Yifa
%A Zhu, Qingfu
%A Li, Lingzhi
%A Zhou, Lianqiang
%A Liu, Ting
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F zhang-etal-2018-context
%X 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.
%U https://aclanthology.org/C18-1206
%P 2437-2447
Markdown (Informal)
[Context-Sensitive Generation of Open-Domain Conversational Responses](https://aclanthology.org/C18-1206) (Zhang et al., COLING 2018)
ACL
- Weinan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, and Ting Liu. 2018. Context-Sensitive Generation of Open-Domain Conversational Responses. In Proceedings of the 27th International Conference on Computational Linguistics, pages 2437–2447, Santa Fe, New Mexico, USA. Association for Computational Linguistics.