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Design and Construction of an Advisory Dialogue Database

机译:咨询对话数据库的设计与构建

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We are aiming to develop a computer-based consultant system which helps novice computer users to achieve their task goals on computers through natural language dialogues. Our target is spoken Japanese. To develop effective methods for processing spoken Japanese, it is essential to analyze real dialogues and to find the characteristics of spoken Japanese. In this paper, we discuss the design problems associated with constructing a spoken dialogue database from the viewpoint of advisory dialogue collection, describe XMH (X-window-based electronic mail handling program) usage experiments made to collect advisory dialogues between novice XMH users and an expert consultant, and show the dialogue database we constructed from these dialogues. The main features of our database are as follows: (1) Our target dialogues were advisory ones. (2) The advisory dialogues were all related to the use of XMH that has a visual interface operated by a keyboard and a mouse. (3) The primary objective of the users was not to engage in dialogues but to achieve specific task goals using XMH. (4) Not only what the users said but also XMH operations performed by the users are included as dialogue elements. This kind of dialogue database is a very effective source for developing new methods for processing spoken language in multimodal consultant systems, and we have therefore made it available to the public. Based on our analysis of the database, we have already developed several effective methods such as a method for recognizing user's communicative intention from a transcript of spoken Japanese, and a method for controlling dialogues between a novice XMH user and the computer-based consultant system which we are developing. Also, we have proposed several response generation rules as the response strategy for the consultant system. We have developed an experimental consultant system by implementing the above methods and strategy.
机译:我们旨在开发一种基于计算机的顾问系统,该系统可以帮助新手计算机用户通过自然语言对话实现他们在计算机上的任务目标。我们的目标是日语。为了开发有效的日语口语处理方法,必须分析真实的对话并找到日语口语的特征。在本文中,我们从咨询对话收集的角度讨论了与构建语音对话数据库相关的设计问题,描述了XMH(基于X窗口的电子邮件处理程序)用法实验,以收集新手XMH用户与用户之间的咨询对话。专家顾问,并展示我们根据这些对话构建的对话数据库。我们数据库的主要特征如下:(1)我们的目标对话是咨询性对话。 (2)咨询对话都与XMH的使用有关,XMH具有通过键盘和鼠标操作的可视界面。 (3)用户的主要目的不是进行对话,而是使用XMH实现特定的任务目标。 (4)不仅包括用户所说的内容,还包括用户执行的XMH操作作为对话元素。这种对话数据库是开发用于在多模式顾问系统中处理口语的新方法的非常有效的资源,因此我们已将其公开提供给公众。根据对数据库的分析,我们已经开发了几种有效的方法,例如从口语记录中识别用户交流意图的方法,以及控制XMH新手与基于计算机的顾问系统之间对话的方法,我们正在发展。此外,我们提出了几种响应生成规则,作为顾问系统的响应策略。通过实施上述方法和策略,我们开发了一个实验顾问系统。

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