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Empathetic conversation is psychologically supposed to be the result of conscious alignment and interaction between the cognition and affection of empathy.
S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization
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Measuring individual differences in empathy: evidence for a multidimensional approach
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Bleu: a method for automatic evaluation of machine translation
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Is talking about an emotional experience helpful? effects on emotional recovery and perceived benefits
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An introduction to cognitive behaviour therapy: Skills and applications
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From what isn’t empathy to empathic learning process
Sevgi Coşkun Keskin. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Empathy: A review of the concept
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A diversity-promoting objective function for neural conversation models
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How NOT to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
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Conceptnet 5.5: An open multilingual graph of general knowledge
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Attention is all you need
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Therapist empathy and client outcome: An updated meta-analysis
Robert Elliott, Arthur C Bohart, Jeanne C Watson, and David Murphy. 2018 · 2018
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Obtaining reliable human ratings of valence, arousal, and dominance for 20, 000 english words
Saif M. Mohammad. 2018 · 2018
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Emotional chatting machine: Emotional conversation generation with internal and external memory
Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, and Bing Liu. 2018 · 2018
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COMET: commonsense transformers for automatic knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Moel: Mixture of empathetic listeners
Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, and Pascale Fung. 2019 · 2019
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Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, and Jason Weston. 2021 · 2021
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Cass: Towards building a social-support chatbot for online health community
Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Mo Yu, Xiaojuan Ma, and Hongan Wang. 2021 · 2021
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Comae: A multi-factor hierarchical framework for empathetic response generation
Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, and Minlie Huang. 2021a · 2021
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CoMAE: A multi-factor hierarchical framework for empathetic response generation
Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, and Minlie Huang. 2021b · 2021
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CARE: commonsense-aware emotional response generation with latent concepts
Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, and Chunyan Miao. 2021 · 2021
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Towards empathetic open-domain conversation models: A new benchmark and dataset
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ATOMIC: an atlas of machine commonsense for if-then reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi. 2019 · 2019
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Emotion-aware chat machine: Automatic emotional response generation for human-like emotional interaction
Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, and Yuchong Hu. 2019 · 2019
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Challenges in building intelligent open-domain dialog systems
Minlie Huang, Xiaoyan Zhu, and Jianfeng Gao. 2020 · 2020
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A mutual information maximization perspective of language representation learning
Lingpeng Kong, Cyprien de Masson d’Autume, Lei Yu, Wang Ling, Zihang Dai, and Dani Yogatama. 2020 · 2020
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BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Empdg: Multi-resolution interactive empathetic dialogue generation
Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, and Zhumin Chen. 2020 · 2020
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CRFR: improving conversational recommender systems via flexible fragments reasoning on knowledge graphs
Jinfeng Zhou, Bo Wang, Ruifang He, and Yuexian Hou. 2021 · 2021
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Emphi: Generating empathetic responses with human-like intents
Mao Yan Chen, Siheng Li, and Yujiu Yang. 2022 · 2022
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Knowledge bridging for empathetic dialogue generation
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Modeling intention, emotion and external world in dialogue systems
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Aligning recommendation and conversation via dual imitation
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Grounded conversation generation as guided traverses in commonsense knowledge graphs
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