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    • 7. 发明授权
    • Method and system for hierarchical natural language understanding
    • 分层自然语言理解的方法和系统
    • US06311150B1
    • 2001-10-30
    • US09389789
    • 1999-09-03
    • Ganesh N. RamaswamyJan Kleindienst
    • Ganesh N. RamaswamyJan Kleindienst
    • G06F1720
    • G06F17/2765G06F17/2785
    • A method for hierarchical translation of input to a formal command in natural language understanding systems includes presenting an input command to be translated to a natural language understanding engine. At least two translator levels are provided in the natural language understanding engine. A first translator level of the at least two translator levels translates the input command into at least one category by associating the input command with the at least one category for the next level of translators. A formal language command is output for the input command from a last of the at least two translator levels based on the input command and the at least one category.
    • 用于将自然语言理解系统中的形式命令的输入分级转换的方法包括将要翻译的输入命令呈现给自然语言理解引擎。 在自然语言理解引擎中提供至少两个翻译级别。 所述至少两个翻译器级别的第一翻译器级别将输入命令转换为至少一个类别,通过将输入命令与用于下一级翻译器的至少一个类别相关联。 基于输入命令和至少一个类别,从最后的至少两个翻译器级别输出用于输入命令的形式语言命令。
    • 9. 发明授权
    • Method and apparatus for dynamic modification of command weights in a natural language understanding system
    • 在自然语言理解系统中动态修改命令权重的方法和装置
    • US07349845B2
    • 2008-03-25
    • US10654205
    • 2003-09-03
    • Daniel Mark CoffmanJan KleindienstGanesh N. Ramaswamy
    • Daniel Mark CoffmanJan KleindienstGanesh N. Ramaswamy
    • G10L15/00G10L11/00G06F17/27
    • G06F17/289G06F17/2818G10L2015/228
    • A method and system for dynamically assigning weights to the subset of commands in a natural language dialog system based on prior context of the user's interaction with the system. The search space of the translation process may be reduced when some context information is available. A user presents input to the natural language understanding system. The system translates the user input into a formal command and calculates a weight value for a next set of formal commands based on the formal command. The command weights may then be dynamically boosted for the next set of formal commands before executing the formal command. The exemplary aspects of the present invention reduce the time needed to complete a task since the search space of the translation process may be reduced if context information is available and improve the accuracy of the process by using knowledge that users regularly use repeating patterns for repeating tasks.
    • 一种用于基于用户与系统的交互的先前上下文在自然语言对话系统中动态地向权重子集分配权重的方法和系统。 当某些上下文信息可用时,可以减少翻译过程的搜索空间。 用户向自然语言理解系统提供输入。 系统将用户输入转换为形式命令,并根据形式命令计算下一组正式命令的权重值。 然后,在执行正式命令之前,命令权重可以针对下一组正式命令动态提升。 本发明的示例性方面减少了完成任务所需的时间,因为如果上下文信息可用,则可以减少翻译过程的搜索空间,并且通过使用用户经常使用重复模式用于重复任务的知识来提高过程的准确性 。
    • 10. 发明授权
    • Method and apparatus for dynamic modification of command weights in a natural language understanding system
    • 在自然语言理解系统中动态修改命令权重的方法和装置
    • US07533025B2
    • 2009-05-12
    • US11761079
    • 2007-06-11
    • Daniel Mark CoffmanJan KleindienstGanesh N. Ramaswamy
    • Daniel Mark CoffmanJan KleindienstGanesh N. Ramaswamy
    • G10L21/00G10L15/08G06F17/27
    • G06F17/289G06F17/2818G10L2015/228
    • A method and system for dynamically assigning weights to the subset of commands in a natural language dialog system based on prior context of the user's interaction with the system. The search space of the translation process may be reduced when some context information is available. A user presents input to the natural language understanding system. The system translates the user input into a formal command and calculates a weight value for a next set of formal commands based on the formal command. The command weights may then be dynamically boosted for the next set of formal commands before executing the formal command. The exemplary aspects of the present invention reduce the time needed to complete a task since the search space of the translation process may be reduced if context information is available and improve the accuracy of the process by using knowledge that users regularly use repeating patterns for repeating tasks.
    • 一种用于基于用户与系统的交互的先前上下文在自然语言对话系统中动态地向权重子集分配权重的方法和系统。 当某些上下文信息可用时,可以减少翻译过程的搜索空间。 用户向自然语言理解系统提供输入。 系统将用户输入转换为形式命令,并根据形式命令计算下一组正式命令的权重值。 然后,在执行正式命令之前,命令权重可以针对下一组正式命令动态提升。 本发明的示例性方面减少了完成任务所需的时间,因为如果上下文信息可用,则可以减少翻译过程的搜索空间,并且通过使用用户经常使用重复模式来重复任务的知识来提高过程的准确性 。