Artigo Acesso aberto

CAiRE: An End-to-End Empathetic Chatbot

2020; Association for the Advancement of Artificial Intelligence; Volume: 34; Issue: 09 Linguagem: Inglês

10.1609/aaai.v34i09.7098

ISSN

2374-3468

Autores

Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung,

Tópico(s)

AI in Service Interactions

Resumo

We present CAiRE, an end-to-end generative empathetic chatbot designed to recognize user emotions and respond in an empathetic manner. Our system adapts the Generative Pre-trained Transformer (GPT) to empathetic response generation task via transfer learning. CAiRE is built primarily to focus on empathy integration in fully data-driven generative dialogue systems. We create a web-based user interface which allows multiple users to asynchronously chat with CAiRE. CAiRE also collects user feedback and continues to improve its response quality by discarding undesirable generations via active learning and negative training.

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