首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment
【2h】

An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment

机译:在智能家居环境中开发面向任务的对话系统的有效框架

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system’s process and can build a dialog system by editing the dialog knowledge. In addition, the framework provides a module router that can indirectly run externally developed modules. Further, it enables a more intelligent conversation by providing a hierarchical argument structure (HAS) to manage the various argument representations included in natural language sentences. To verify the practicality of the framework, an experiment was conducted in which developers without any previous experience in developing a dialog system developed task-oriented dialog systems using the proposed framework. The experimental results show that even beginner dialog system developers can develop a high-level task-oriented dialog system.
机译:近年来,随着对智能家居会话代理的兴趣日益浓厚,面向任务的对话系统正在得到积极研究。但是,这些研究大多数集中在这种系统的各个模块上,并且显然缺乏对可以集成和管理整个对话系统的对话框架的研究。因此,在这项研究中,我们提出了一个框架,使用户能够有效地开发智能对话系统。拟议的框架在本体上表达了面向任务的对话系统过程所需的知识,并且可以通过编辑对话知识来构建对话系统。此外,该框架还提供了一个模块路由器,可以间接运行外部开发的模块。此外,它通过提供分层的自变量结构(HAS)来管理自然语言句子中包含的各种自变量表示,从而实现了更智能的对话。为了验证该框架的实用性,进行了一个实验,其中没有任何开发对话系统经验的开发人员使用所提出的框架开发了面向任务的对话系统。实验结果表明,即使是初学者的对话系统开发人员也可以开发面向任务的高级对话系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号