Coral: An Approach for Conversational Agents in Mental Health Applications
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 b...
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creator | Sakhrani, Harsh Parekh, Saloni Mahajan, Shubham |
description | 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. |
doi_str_mv | 10.48550/arxiv.2111.08545 |
format | Article |
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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
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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
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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.</abstract><doi>10.48550/arxiv.2111.08545</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Computation and Language |
title | Coral: An Approach for Conversational Agents in Mental Health Applications |
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