Generating Empathetic Responses by Looking Ahead the User’s Sentiment

@article{Shin2020GeneratingER,
  title={Generating Empathetic Responses by Looking Ahead the User’s Sentiment},
  author={Jamin Shin and Peng Xu and Andrea Madotto and Pascale Fung},
  journal={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2020},
  pages={7989-7993}
}
  • Jamin ShinPeng Xu Pascale Fung
  • Published 20 June 2019
  • Computer Science
  • ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
An important aspect of human conversation difficult for machines is conversing with empathy, which is to understand the user’s emotion and respond appropriately. Recent neural conversation models that attempted to generate empathetic responses either focused on conditioning the output to a given emotion, or incorporating the current user emotional state. However, these approaches do not factor in how the user would feel towards the generated response. Hence, in this paper, we propose Sentiment… 

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