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An evaluation of strategies for selectively verifying utterance meanings in spoken natural language dialog

机译：评估自然口语对话中话语含义的策略评估

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As with human-human interaction, spoken human-computer dialog will contain situations where there is miscommunication. One natural strategy for reducing the impact of miscommunication is selective verification of the user utterance meanings. This paper reports on both context-independent and context-dependent strategies for utterance verification that show that the use of dialog context can be very helpful in selecting which utterances to verify. Simulations with data collected during experimental trials with the Circuit Fix-It Shop spoken natural language dialog system are used in the analysis. In addition, the performance of various selection strategies is measured separately for computer-controlled and user-controlled dialogs and general guidelines for selecting an appropriate strategy are presented. (C) 1998 Academic Press Limited. [References: 14]
机译：与人与人之间的互动一样，口头人机对话将包含沟通不畅的情况。减少误传影响的一种自然策略是对用户话语含义的选择性验证。本文报告了针对上下文验证的上下文无关策略和上下文相关策略，这些策略表明，使用对话框上下文可以在选择要验证的语音方面非常有帮助。分析中使用了使用Circuit Fix-It Shop口语自然语言对话系统在实验试验期间收集的数据进行的模拟。此外，针对计算机控制和用户控制的对话框分别测量了各种选择策略的性能，并介绍了选择适当策略的一般准则。 （C）1998 Academic Press Limited。 [参考：14]

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