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Mixed-initiative Personal Assistants

机译:混合倡议的个人助理

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Specification and implementation of flexible human-computer dialogs is challenging because of the complexity involved in rendering the dialog responsive to a vast number of varied paths through which users might desire to complete the dialog. To address this problem, we developed a toolkit for modeling and implementing task-based, mixed-initiative dialogs based on metaphors from lambda calculus. Our toolkit can automatically operationalize a dialog that involves multiple prompts and/or sub-dialogs, given a high-level dialog specification of it. Our current research entails incorporating the use of natural language to make the flexibility in communicating user utterances commensurate with that in dialog completion paths.
机译:灵活的人机对话框的规范和实现是具有挑战性的,因为响应对话框的复杂性响应于用户可能希望完成对话框的大量不同路径。为了解决这个问题,我们开发了一种用于基于来自Lambda微积分的隐喻来建模和实施基于任务的混合主动对话框的工具包。我们的工具包可以自动运行一个对话框,该对话框涉及多个提示和/或子对话框,给定它的高级对话框规范。我们目前的研究需要利用自然语言,使得在对话完成路径中沟通用户话语的灵活性。

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