人格
计算机科学
背景(考古学)
光学(聚焦)
选择(遗传算法)
领域(数学分析)
人工智能
自然语言处理
人机交互
人格
认知科学
心理学
社会心理学
数学
古生物学
数学分析
物理
光学
生物
作者
Yunpeng Liu,Yue Hu,Wei Peng,Yuqiang Xie
标识
DOI:10.1109/icassp49357.2023.10095829
摘要
It is a critical challenge for open-domain dialogue agents to generate context-coherent responses which can present a consistent personality. However, existing methods mainly focus on the penalty of the persona-inconsistent responses, leaving out considering the context-incoherence problem caused by wrong persona selection. In this paper, we propose the Think-Before-You-Speak (TBYS) model, consisting of Concept-guided Persona Reasoning module and Consistent Dialogue Generation module, to explicitly select persona sentences semantically relevant to the current turn and generate responses based on the selection results. The experimental results on Persona-Chat show that TBYS can generate coherent and consistent responses, outperforming state-of-the-art baselines in both automatic and human evaluations.
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