论文标题
学会调解差异方面的务实交流
Learning to Mediate Disparities Towards Pragmatic Communication
论文作者
论文摘要
人类交流是一个协作过程。演讲者除了传达自己的意图之外，还要考虑听众，包括他们的知识背景，个性和身体能力来调整内容和语言表达方式。为了建立具有类似语言传播能力的AI代理商，我们提出了务实的理性说话者（PRS），该框架扩展了理性语音法（RSA）。 PRS试图通过将轻度加权的差异调整层添加到Speaker的长期记忆系统之外的工作记忆中，从而学习说话者上列的差异并相应地调整语音。通过修复长期内存，PRS只需要更新其工作记忆即可学习和适应不同类型的听众。为了验证我们的框架，我们创建了一个数据集，该数据集在参考游戏的背景下模拟不同类型的说话者列表的差异。我们的经验结果表明，PRS能够将其输出转向听众能够理解的语言，从而显着改善协作任务结果。
Human communication is a collaborative process. Speakers, on top of conveying their own intent, adjust the content and language expressions by taking the listeners into account, including their knowledge background, personalities, and physical capabilities. Towards building AI agents with similar abilities in language communication, we propose Pragmatic Rational Speaker (PRS), a framework extending Rational Speech Act (RSA). The PRS attempts to learn the speaker-listener disparity and adjust the speech accordingly, by adding a light-weighted disparity adjustment layer into working memory on top of speaker's long-term memory system. By fixing the long-term memory, the PRS only needs to update its working memory to learn and adapt to different types of listeners. To validate our framework, we create a dataset that simulates different types of speaker-listener disparities in the context of referential games. Our empirical results demonstrate that the PRS is able to shift its output towards the language that listener are able to understand, significantly improve the collaborative task outcome.
