Task learning by instruction in tailor

J. Blythe
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引用次数: 38

Abstract

In order for intelligent systems to be applicable in a wide range of situations, end users must be able to modify their task descriptions. We introduce Tailor, a system that allows users to modify task information through instruction. In this approach, the user enters a short sentence to describe the desired change. The system maps the sentence into valid, plausible modifications and checks for unexpected side-effects they may have, working interactively with the user throughout the process. We conducted preliminary tests in which subjects used Tailor to make modifications to domains drawn from the eHow website, applying modifications posted by readers as 'tips'. In this way the subjects acted as interpreters between Tailor and the human-generated descriptions of modifications. Almost all the subjects were able to make all modifications to the process descriptions with Tailor, indicating that the interpreter role is quite natural for users.
教学任务学习
为了使智能系统适用于广泛的情况,最终用户必须能够修改他们的任务描述。我们介绍Tailor,一个允许用户通过指令修改任务信息的系统。在这种方法中,用户输入一个简短的句子来描述所需的更改。系统将句子映射为有效的、合理的修改,并检查它们可能产生的意想不到的副作用,在整个过程中与用户交互工作。我们进行了初步测试,在测试中,受试者使用Tailor对eHow网站上的域名进行修改,并将读者发布的修改作为“提示”。通过这种方式,受试者充当了裁缝和人类生成的修改描述之间的解释者。几乎所有的受试者都能够使用Tailor对过程描述进行所有修改,这表明解释器角色对用户来说是非常自然的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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