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Developing an emotion-affective open-domain chatbot with positively transitioned sentiment data

2022-08-09 07:05:14
Weixuan Wang, Wei Peng, Chong Hsuan Huang, Haoran Wang
arXiv_CL
             
Abstract

In this paper, we describe a data-driven approach for developing Emily, an emotion-affective open-domain chatbot. The proposed data enhancing method can explicitly model positively transitioned (PT) sentiment data from multi-turn dialogues. We construct a dialogue corpus with PT sentiment data and will release it for public use. By fine-tuning a pretrained dialogue model using the produced PT enhanced dialogues, we are able to develop an emotion-affective open-domain chatbot exhibiting close-to-human performance in various emotion-affective metrics. We evaluate Emily against a few state-of-the-art (SOTA) open-domain chatbots and show the effectiveness of the proposed approach.

Abstract (translated)

URL

https://arxiv.org/abs/2208.04565

PDF

https://arxiv.org/pdf/2208.04565.pdf

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