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arXiv · 1907.12108

CAiRE: An Empathetic Neural Chatbot

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

In this paper, we present an end-to-end empathetic conversation agent CAiRE. Our system adapts TransferTransfo (Wolf et al., 2019) learning approach that fine-tunes a large-scale pre-trained language model with multi-task objectives: response language modeling, response prediction and dialogue emotion detection. We evaluate our model on the recently proposed empathetic-dialogues dataset (Rashkin et al., 2019), the experiment results show that CAiRE achieves state-of-the-art performance on dialogue emotion detection and empathetic response generation.

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Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung. 2020-04-26. CAiRE: An Empathetic Neural Chatbot. https://arxiv.org/abs/1907.12108

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