基于实例的口语对话系统错误恢复策略

Cheongjae Lee, Sangkeun Jung, Donghyeon Lee, G. G. Lee
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引用次数: 11

摘要

错误处理已成为口语对话系统中的一个重要问题。我们描述了一种基于示例的方法来检测和修复基于示例的对话建模框架中的错误。我们的错误恢复方法侧重于用系统和任务指导的重新措辞策略来帮助新手用户重新措辞容易识别和容易理解的输入。当检测到错误时,对话系统给出与当前情况相关的可能的话语模板和内容。对汽车导航系统的实证评估表明,我们的方法对新手操作语音对话系统是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Example-based error recovery strategy for spoken dialog system
Error handling has become an important issue in spoken dialog systems. We describe an example-based approach to detect and repair errors in an example-based dialog modeling framework. Our approach to error recovery is focused on the re-phrase strategy with a system and a task guidance to help the novice users to re-phrase well-recognizable and well-understandable input. The dialog system gives possible utterance templates and contents related to the current situation when errors are detected. An empirical evaluation of the car navigation system shows that our approach is effective to the novice users for operating the spoken dialog system.
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