FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

Wei Peng; Ziyuan Qin; Yue Hu; Yuqiang Xie; Yunpeng Li

doi:10.1016/j.knosys.2023.110340

journal article Mar 01, 2023

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

Wei Peng

Ziyuan Qin Yue Hu

Yuqiang Xie Yunpeng Li

Knowledge-Based Systems Vol. 264 pp. 110340 · Elsevier BV

View at Publisher Save 10.1016/j.knosys.2023.110340

Topics

No keywords indexed for this article. Browse by subject →

References

43

[1]

Serban "Building end-to-end dialogue systems using generative hierarchical neural network models" (2016)

[2]

Xing "Hierarchical recurrent attention network for response generation" (2018)

[3]

Gao "Generating multiple diverse responses for short-text conversation" (2019)

[4]

Sun "History-adaption knowledge incorporation mechanism for multi-turn dialogue system" (2020)

[5]

F. Chen, X. Chen, F. Meng, P. Li, J. Zhou, GoG: Relation-aware Graph-over-Graph Network for Visual Dialog, in: Findings of the Association for Computational Linguistics, ACL-IJCNLP 2021, 2021, pp. 230–243. 10.18653/v1/2021.findings-acl.20

[6]

Lian (2023)

[7]

Wang "Slot dependency modeling for zero-shot cross-domain dialogue state tracking" (2022)

[8]

Liu "Towards emotional support dialog systems" (2021)

[9]

Rains "Support seeker expectations, support message quality, and supportive interaction processes and outcomes: The case of the comforting computer program revisited" J. Soc. Pers. Relatsh. (2020) 10.1177/0265407519876359

[10]

Heaney "Social networks and social support" Health Behav. Health Educ.: Theory Res. Pract. (2008)

[11]

Slovák "Designing social and emotional skills training: The challenges and opportunities for technology support" (2015)

[12]

van der Zwaan "A BDI dialogue agent for social support: Specification and evaluation method" (2012)

[13]

Zhou "The design and implementation of XiaoIce, an empathetic social chatbot" Comput. Linguist. (2020) 10.1162/coli_a_00368

[14]

Hill (1999)

[15]

Tu "MISC: a mixed strategy-aware model integrating COMET for emotional support conversation" (2022)

[16]

Scott "Understanding contemporary society: Theories of the present" Ration. Choice Theory (2000)

[17]

Picard "Affective computing: challenges" Int. J. Hum.-Comput. Stud. (2003) 10.1016/s1071-5819(03)00052-1

[18]

Salovey "What is emotional intelligence? Emotional development and emotional intelligence: Implications for educators" (1997)

[19]

Zhou "Emotional chatting machine: Emotional conversation generation with internal and external memory" (2018)

[20]

Song "Generating responses with a specific emotion in dialog" (2019)

[21]

Zhang "Knowledge aware emotion recognition in textual conversations via multi-task incremental transformer" (2020)

[22]

Huang "Challenges in building intelligent open-domain dialog systems" ACM Trans. Inf. Syst. (2020) 10.1145/3383123

[23]

Wang (2022)

[24]

Miller "Key-value memory networks for directly reading documents" (2016)

[25]

Wen "Dynamic interactive multiview memory network for emotion recognition in conversation" Inf. Fusion (2022)

[26]

Ma "A survey on empathetic dialogue systems" Inf. Fusion (2020) 10.1016/j.inffus.2020.06.011

[27]

Rashkin "Towards empathetic open-domain conversation models: A new benchmark and dataset" (2019)

[28]

Lin "MoEL: Mixture of empathetic listeners" (2019)

[29]

Majumder "MIME: MIMicking emotions for empathetic response generation" (2020)

[30]

Zheng "CoMAE: A multi-factor hierarchical framework for empathetic response generation" (2021)

[31]

Zhao (2022)

[32]

Wang "Empathetic response generation through graph-based multi-hop reasoning on emotional causality" Knowl.-Based Syst. (2021) 10.1016/j.knosys.2021.107547

[33]

Y.-J. Lee, H.-J. Choi, Exploring the Repetition Problem in Empathetic Dialogue Generative Model, in: 2022 IEEE International Conference on Big Data and Smart Computing, BigComp, 2022, pp. 398–400. 10.1109/bigcomp54360.2022.00090

[34]

Peng "Control globally, understand locally: A global-to-local hierarchical graph network for emotional support conversation" (2022)

[35]

Zheng (2022)

[36]

Bosselut "COMET: commonsense transformers for automatic knowledge graph construction" (2019)

[37]

Roller "Recipes for building an open-domain chatbot" (2021)

[38]

Kim (2021)

[39]

Paszke (2017)

[40]

Loshchilov (2017)

[41]

K. Papineni, S. Roukos, T. Ward, W. Zhu, Bleu: a Method for Automatic Evaluation of Machine Translation, in: ACL, 2002, pp. 311–318. 10.3115/1073083.1073135

[42]

Li "A diversity-promoting objective function for neural conversation models" (2016)

[43]

C.-Y. Lin, Rouge: A package for automatic evaluation of summaries ACL, in: Proceedings of Workshop on Text Summarization Branches Out Post Conference Workshop of ACL, 2004, pp. 2017–2005.

Metrics

33

Citations

43

References

Details

Published: Mar 01, 2023
Vol/Issue: 264
Pages: 110340
License: View

Authors

W

Wei Peng

Changsha Social Work College , Changsha 410018, Hunan Province , China

School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China; Key Laboratory of Structural Biology, Chinese Academy of Science, Hefei, Anhui 230027, China

Funding

National Natural Science Foundation of China Award: U21B2009

Cite This Article

Wei Peng, Ziyuan Qin, Yue Hu, et al. (2023). FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation. Knowledge-Based Systems, 264, 110340. https://doi.org/10.1016/j.knosys.2023.110340

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

You May Also Like