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Method and system for ensuring robustness in natural language understanding

机译:确保自然语言理解的鲁棒性的方法和系统

摘要

A method and system, which may be implemented by employing a program storage device readable by machine, and tangibly embodying a program of instructions executable by the machine to perform method steps for ensuring robustness of a natural language understanding (NLU) system, includes tagging recognized words of a command input to the NLU system to associate the command with a context, and translating the command to at least one formal command based on the tagged words. A top ranked formal command is determined based on scoring of the tagged recognized words and scoring translations of the at least one formal command. Whether the top ranked formal command is accepted is determined by comparing a feature vector of the top ranked formal command to representations of feature vectors stored in an accept model. The top ranked formal command is executed if accepted and incorrect commands are prevented from execution to provide a robust NLU system.
机译:可以通过采用机器可读的程序存储设备并有形地体现机器可执行的指令程序以执行用于确保自然语言理解(NLU)系统的鲁棒性的方法步骤的方法和系统,包括标记已识别的输入到NLU系统以将命令与上下文相关联的命令的单词,并基于标记的单词将命令翻译为至少一个正式命令。基于标记的识别单词的得分和至少一个形式命令的翻译得分,确定排名最高的形式命令。通过将排名最高的形式命令的特征向量与存储在接受模型中的特征向量的表示进行比较,来确定排名最高的形式命令是否被接受。如果接受并防止执行不正确的命令以提供可靠的NLU系统,则执行排名最高的形式命令。

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