Simulated Annealing for Emotional Dialogue Systems

• URL: http://arxiv.org/abs/2109.10715v1
• Date: Wed, 22 Sep 2021 13:17:17 GMT
• Title: Simulated Annealing for Emotional Dialogue Systems
• Authors: Chengzhang Dong and Chenyang Huang and Osmar Za\"iane and Lili Mou
• Abstract summary: We consider the task of expressing a specific emotion for dialogue generation. Our proposed method shows 12% improvements in emotion accuracy compared with the previous state-of-the-art method.
• Score: 22.96717845092991
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Explicitly modeling emotions in dialogue generation has important applications, such as building empathetic personal companions. In this study, we consider the task of expressing a specific emotion for dialogue generation. Previous approaches take the emotion as an input signal, which may be ignored during inference. We instead propose a search-based emotional dialogue system by simulated annealing (SA). Specifically, we first define a scoring function that combines contextual coherence and emotional correctness. Then, SA iteratively edits a general response and searches for a sentence with a higher score, enforcing the presence of the desired emotion. We evaluate our system on the NLPCC2017 dataset. Our proposed method shows 12% improvements in emotion accuracy compared with the previous state-of-the-art method, without hurting the generation quality (measured by BLEU).

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