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Emotional support is a crucial ability for many conversation scenarios, including social interactions, mental health support, and customer service chats.
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A computational approach to understanding empathy expressed in text-based mental health support
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Online emotional support delivered by trained volunteers: users’ satisfaction and their perception of the service compared to psychotherapy
Amit Baumel. 2015 · 2015
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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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DailyDialog: A manually labelled multi-turn dialogue dataset
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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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MIME: MIMicking emotions for empathetic response generation
Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander Gelbukh, Rada Mihalcea, and Soujanya Poria. 2020 · 2020
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Support seeker expectations, support message quality, and supportive interaction processes and outcomes: The case of the comforting computer program revisited
Stephen A Rains, Corey A Pavlich, Bethany Lutovsky, Eric Tsetsi, and Anjali Ashtaputre. 2020 · 2020
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A computational approach to understanding empathy expressed in text-based mental health support
Ashish Sharma, Adam Miner, David Atkins, and Tim Althoff. 2020a · 2020
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Counseling-style reflection generation using generative pretrained transformers with augmented context
Siqi Shen, Charles Welch, Rada Mihalcea, and Verónica Pérez-Rosas. 2020 · 2020
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Shikhar Sharma, Layla El Asri, Hannes Schulz, and Jeremie Zumer. 2017 · 2017
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Emotional dialogue generation using image-grounded language models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, and Bill Dolan. 2018 · 2018
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Using crowdsourcing for the development of online emotional support agents
Lenin Medeiros and Tibor Bosse. 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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MojiTalk: Generating emotional responses at scale
Xianda Zhou and William Yang Wang. 2018 · 2018
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 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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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Expressive interviewing: A conversational system for coping with COVID-19
Charles Welch, Allison Lahnala, Veronica Perez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James Pennebaker, and Rada Mihalcea. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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DIALOGPT : Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2020 · 2020
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Towards persona-based empathetic conversational models
Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, and Chunyan Miao. 2020 · 2020
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The design and implementation of xiaoice, an empathetic social chatbot
Li Zhou, Jianfeng Gao, Di Li, and Heung-Yeung Shum. 2020 · 2020
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It takes two to empathize: One to seek and one to provide
Mahshid Hosseini and Cornelia Caragea. 2021 · 2021
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Psyqa: A chinese dataset for generating long counseling text for mental health support
Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, and Minlie Huang. 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. 2021 · 2021
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