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Designing Multilingual Interactive Agents using Small Dialogue Corpora

机译:使用小对话体进行设计的多语种互动代理

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Interactive dialogue agents like smart speakers have become more and more popular in recent years. These agents are being developed on machine learning technologies that use huge amounts of language resources. However, many entities in specialized fields are struggling to develop their own interactive agents due to a lack of language resources such as dialogue corpora, especially when the end users need interactive agents that offer multilingual support. Therefore, we aim at providing a general design framework for multilingual interactive agents in specialized domains that, it is assumed, have small or non-existent dialogue corpora. To achieve our goal, we first integrate and customize external language services for supporting multilingual functions of interactive agents. Then, we realize context-aware dialogue generation under the situation of small corpora. Third, we develop a gradual design process for acquiring dialogue corpora and improving the interactive agents. We implement a multilingual interactive agent in the field of healthcare and conduct experiments to illustrate the effectiveness of the implemented agent.
机译:近年来,智能扬声器等互动对话代理商已经变得越来越受欢迎。这些代理正在制定用于使用大量语言资源的机器学习技术开发。然而,由于缺乏语言资源,如对话的语料库,特别是当最终用户需要提供多语言支持的互动代理时,专业领域的许多实体都在努力开发自己的互动代理。因此,我们的目的是为专门域中的多语种互动代理提供一般设计框架,它是假设的,具有小或不存在的对话集团。为实现我们的目标,我们首先集成和自定义外部语言服务,以支持交互式代理的多语言功能。然后,我们在小型语料库的情况下实现了背景感知对话一代。第三,我们开发了一个渐进的设计过程,以获取对话体面并改善互动代理人。我们在医疗保健领域实施了多语种互动代理,并进行实验,以说明实施的代理的有效性。

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