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ACL Findings2021

CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation

Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang

摘要

The capacity of empathy is crucial to the success of open-domain dialog systems. Due to its nature of multi-dimensionality, there are various factors that relate to empathy expression, such as communication mechanism, dialog act and emotion. However, existing methods for empathetic response generation usually either consider only one empathy factor or ignore the hierarchical relationships between different factors, leading to a weak ability of empathy modeling. In this paper, we propose a multi-factor hierarchical framework, CoMAE, for empathetic response generation, which models the above three key factors of empathy expression in a hierarchical way. We show experimentally that our CoMAEbased model can generate more empathetic responses than previous methods. We also highlight the importance of hierarchical modeling of different factors through both the empirical analysis on a real-life corpus and the extensive experiments. Our codes and used data are available at https://github.com/ chujiezheng/CoMAE.

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引用它的顶会 Paper11

  1. CEM: Commonsense-Aware Empathetic Response GenerationSahand Sabour, Chujie Zheng, Minlie HuangAAAI 2022 · 196 次引用
  2. Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy PlanningYi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang 等EMNLP 2022 · 32 次引用
  3. CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response GenerationJinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang 等ACL 2023 · 25 次引用
  4. Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning ApproachJinfeng Zhou, Zhuang Chen, Bo Wang, Minlie HuangACL 2023 · 17 次引用
  5. Machine and Human Understanding of Empathy in Online Peer Support: A Cognitive Behavioral ApproachSara Syed, Zainab Iftikhar, Amy Wei Xiao, Jeff HuangCHI 2024 · 14 次引用

它引用的 Paper8

  1. The Curious Case of Neural Text DegenerationAri Holtzman, Jan Buys, Li Du, Maxwell Forbes 等ICLR 2020 · 4,112 次引用
  2. Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning ApproachAshish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins 等WWW 2021 · 183 次引用
  3. Towards Persona-Based Empathetic Conversational ModelsPeixiang Zhong, Chen Zhang, Hao Wang, Yong Liu 等EMNLP 2020 · 112 次引用
  4. PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health SupportHao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu 等ACL Findings 2021 · 69 次引用
  5. A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health SupportAshish Sharma, Adam S. Miner, David C. Atkins, Tim AlthoffEMNLP 2020 · 21 次引用

相关 Paper

  1. DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response GenerationGuanqun Bi, Lei Shen, Yanan Cao, Meng Chen 等ACL 2023 · 9 次引用
  2. Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response GenerationYangbin Chen, Chunfeng LiangEMNLP Findings 2022 · 8 次引用
  3. EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response GenerationXiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen 等WWW 2023 · 13 次引用
  4. E-CORE: Emotion Correlation Enhanced Empathetic Dialogue GenerationFengyi Fu, Lei Zhang, Quan Wang, Zhendong MaoEMNLP 2023 · 8 次引用
  5. CARE: Causality Reasoning for Empathetic Responses by Conditional Graph GenerationJiashuo Wang, Yi Cheng, Wenjie LiEMNLP Findings 2022 · 11 次引用
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