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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

Abstract

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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Cited by top-tier papers11

  1. CEM: Commonsense-Aware Empathetic Response GenerationSahand Sabour, Chujie Zheng, Minlie HuangAAAI 2022 · 196 citations
  2. Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy PlanningYi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang et al.EMNLP 2022 · 32 citations
  3. CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response GenerationJinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang et al.ACL 2023 · 25 citations
  4. Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning ApproachJinfeng Zhou, Zhuang Chen, Bo Wang, Minlie HuangACL 2023 · 17 citations
  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 citations

Builds on8

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

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