Context-sensitive generation of open-domain conversational responses

Wei Nan Zhang; Yiming Cui; Yifa Wang; Qingfu Zhu; Lingzhi Li; Lianqiang Zhou; Ting Liu

Context-sensitive generation of open-domain conversational responses

Wei Nan Zhang^*
, Yiming Cui
, Yifa Wang^*
, Qingfu Zhu^*
, Lingzhi Li^*
, Lianqiang Zhou
, Ting Liu^*

^*Corresponding author for this work

Faculty of Computing

IFLYTEK Co., Ltd.
Harbin Institute of Technology
Tencent

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

46 Scopus citations

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.

Original language	English
Title of host publication	COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings
Editors	Emily M. Bender, Leon Derczynski, Pierre Isabelle
Publisher	Association for Computational Linguistics (ACL)
Pages	2437-2447
Number of pages	11
ISBN (Electronic)	9781948087506
State	Published - 2018
Event	27th International Conference on Computational Linguistics, COLING 2018 - Santa Fe, United States Duration: 20 Aug 2018 → 26 Aug 2018

Publication series

Name	COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings

Conference

Conference	27th International Conference on Computational Linguistics, COLING 2018
Country/Territory	United States
City	Santa Fe
Period	20/08/18 → 26/08/18

Cite this

Zhang, W. N., Cui, Y., Wang, Y., Zhu, Q., Li, L., Zhou, L., & Liu, T. (2018). Context-sensitive generation of open-domain conversational responses. In E. M. Bender, L. Derczynski, & P. Isabelle (Eds.), COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings (pp. 2437-2447). (COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings). Association for Computational Linguistics (ACL).

Zhang, Wei Nan ; Cui, Yiming ; Wang, Yifa et al. / Context-sensitive generation of open-domain conversational responses. COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. editor / Emily M. Bender ; Leon Derczynski ; Pierre Isabelle. Association for Computational Linguistics (ACL), 2018. pp. 2437-2447 (COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings).

@inproceedings{6f12ce6ceac143279448696a91ca3ef9,

title = "Context-sensitive generation of open-domain conversational responses",

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.",

author = "Zhang, \{Wei Nan\} and Yiming Cui and Yifa Wang and Qingfu Zhu and Lingzhi Li and Lianqiang Zhou and Ting Liu",

note = "Publisher Copyright: {\textcopyright} 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.; 27th International Conference on Computational Linguistics, COLING 2018 ; Conference date: 20-08-2018 Through 26-08-2018",

year = "2018",

language = "英语",

series = "COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings",

publisher = "Association for Computational Linguistics (ACL)",

pages = "2437--2447",

editor = "Bender, \{Emily M.\} and Leon Derczynski and Pierre Isabelle",

booktitle = "COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings",

address = "澳大利亚",

}

Zhang, WN, Cui, Y, Wang, Y, Zhu, Q, Li, L, Zhou, L & Liu, T 2018, Context-sensitive generation of open-domain conversational responses. in EM Bender, L Derczynski & P Isabelle (eds), COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings, Association for Computational Linguistics (ACL), pp. 2437-2447, 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, United States, 20/08/18.

Context-sensitive generation of open-domain conversational responses. / Zhang, Wei Nan; Cui, Yiming; Wang, Yifa et al.
COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. ed. / Emily M. Bender; Leon Derczynski; Pierre Isabelle. Association for Computational Linguistics (ACL), 2018. p. 2437-2447 (COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Context-sensitive generation of open-domain conversational responses

AU - Zhang, Wei Nan

AU - Cui, Yiming

AU - Wang, Yifa

AU - Zhu, Qingfu

AU - Li, Lingzhi

AU - Zhou, Lianqiang

AU - Liu, Ting

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85071689999

M3 - 会议稿件

AN - SCOPUS:85071689999

T3 - COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings

SP - 2437

EP - 2447

BT - COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings

A2 - Bender, Emily M.

A2 - Derczynski, Leon

A2 - Isabelle, Pierre

PB - Association for Computational Linguistics (ACL)

T2 - 27th International Conference on Computational Linguistics, COLING 2018

Y2 - 20 August 2018 through 26 August 2018

ER -

Zhang WN, Cui Y, Wang Y, Zhu Q, Li L, Zhou L et al. Context-sensitive generation of open-domain conversational responses. In Bender EM, Derczynski L, Isabelle P, editors, COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. Association for Computational Linguistics (ACL). 2018. p. 2437-2447. (COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings).

Context-sensitive generation of open-domain conversational responses

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