mlsanityData to 7 Oct 2026

Coral: An Approach for Conversational Agents in Mental Health Applications

arXiv 2111.08545 ↗First posted 16 Nov 2021cs.CLcited by 2

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Abstract (arXiv)

It may be difficult for some individuals to open up and share their thoughts and feelings in front of a mental health expert. For those who are more at ease with a virtual agent, conversational agents can serve as an intermediate step in the right direction. The conversational agent must therefore be empathetic and able to conduct free-flowing conversations. To this effect, we present an approach for creating a generative empathetic open-domain chatbot that can be used for mental health applications. We leverage large scale pre-training and empathetic conversational data to make the responses more empathetic in nature and a multi-turn dialogue arrangement to maintain context. Our models achieve state-of-the-art results on the Empathetic Dialogues test set.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 3 of its 6 references that are in the map. First posted on arXiv 16 Nov 2021.

Builds on

3 of 6 references.

References · 3

  1. 2017Attention Is All You Needcited by 59,932
  2. 2019DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generationcited by 842
  3. 2019CAiRE: An Empathetic Neural Chatbotcited by 14

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