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    • 3. 发明授权
    • Context-based suggestions mechanism and adaptive push mechanism for natural language systems
    • 基于语境的建议机制和自然语言系统的适应性推动机制
    • US08036877B2
    • 2011-10-11
    • US12323588
    • 2008-11-26
    • Nicholas K TreadgoldBabak Hodjat
    • Nicholas K TreadgoldBabak Hodjat
    • G06F17/27
    • G06F17/2785G06F17/2795Y10S707/99935
    • Natural language interface to a back-end application, incorporating synonyms, suggestions, and proposals. Roughly described, synonyms are automatically added to user input to enhance the natural language interpretation, whereas suggestions and proposals are offered to the user in an interaction, usually after an interpretation of prior user input. Suggestions and synonyms can be learned from user input, whereas proposals are programmed by a third party. The selection of synonyms, suggestions, and proposals for use with particular user input can be user input context-based so that further user input can maintain context by explicitly indicating that the same context is intended, and rewards-based reinforcement can be used to better focus suggestions and proposals on the characteristics of the particular user.
    • 自然语言界面到后端应用程序,包含同义词,建议和提案。 粗略地描述,同义词被自动添加到用户输入以增强自然语言解释,而通常在对先前用户输入的解释之后,在交互中向用户提供建议和提议。 建议和同义词可以从用户输入中学习,而提案由第三方编程。 与特定用户输入一起使用的同义词,建议和提议的选择可以是基于用户输入的上下文,以便进一步的用户输入可以通过明确指示相同的上下文来维护上下文,并且可以使用基于奖励的加强来更好地 关于特定用户特征的重点建议和建议。
    • 5. 发明授权
    • Synonyms mechanism for natural language systems
    • 自然语言系统的同义词机制
    • US07231343B1
    • 2007-06-12
    • US10326492
    • 2002-12-20
    • Nicholas K. TreadgoldBabak Hodjat
    • Nicholas K. TreadgoldBabak Hodjat
    • G06F17/27
    • G06F17/2785G06F17/2795Y10S707/99935
    • Roughly described, a natural language interface to a back-end application incorporates synonyms automatically added to user input to enhance the natural language interpretation. Synonyms can be learned from user input and written into a synonyms database. Their selection can be based on tokens identified in user input. Natural language interpretation can be performed by agents arranged in a network, which parse the user input in a distributed manner. In an embodiment, a particular agent of the natural language interpreter receives a first message that includes the user input, returns a message claiming at least a portion of the user input, and subsequently receives a second message delegating actuation of at least that portion to the particular agent.
    • 粗略地描述,后端应用程序的自然语言界面包含自动添加到用户输入的同义词,以增强自然语言解释。 同义词可以从用户输入中学习并写入同义词数据库。 他们的选择可以基于在用户输入中标识的标记。 自然语言解释可以由布置在网络中的代理执行,其以分布式方式解析用户输入。 在一个实施例中,自然语言解释器的特定代理接收包括用户输入的第一消息,返回声明用户输入的至少一部分的消息,并且随后接收第二消息,将至少该部分的致动委托给 特定代理