Manual creation for a program product
    51.
    发明授权
    Manual creation for a program product 有权
    手动创建程序产品

    公开(公告)号:US09436680B2

    公开(公告)日:2016-09-06

    申请号:US14262125

    申请日:2014-04-25

    Abstract: Embodiments relate to supporting creation of a manual of a program product. An aspect includes recording into a recording medium that can be accessed by the computer a screen character string, a translated character string where the screen character string has been translated to another language, or an identifier associated with the screen character string or the translated character string, displayed on a display device by the program product. Another aspect includes recording into the recording medium attribute information of the screen character string or the translated character string. Yet another aspect includes maintaining consistency between the screen character string or the translated character string and a character string that is displayed on a display device by an application for creating the manual, using the screen character string, the translated character string or identifier recorded on the recording medium and the attribute information.

    Abstract translation: 实施例涉及支持创建程序产品的手册。 一个方面包括将记录媒体记录到计算机可以访问的屏幕字符串,将屏幕字符串已被翻译成另一种语言的翻译字符串,或与屏幕字符串或翻译字符串相关联的标识符 ,由程序产品显示在显示设备上。 另一方面包括将记录介质记录在屏幕字符串或翻译字符串中的属性信息。 另一方面包括:使用屏幕字符串,记录在该字符串上的翻译字符串或标识符来维护屏幕字符串或翻译字符串与显示设备上显示的用于创建手册的应用程序之间的一致性 记录介质和属性信息。

    DETERMINING REPLY CONTENT FOR A REPLY TO AN ELECTRONIC COMMUNICATION
    52.
    发明申请
    DETERMINING REPLY CONTENT FOR A REPLY TO AN ELECTRONIC COMMUNICATION 审中-公开
    确定回复电子通信的回复内容

    公开(公告)号:US20160241493A1

    公开(公告)日:2016-08-18

    申请号:US14620630

    申请日:2015-02-12

    Applicant: Google Inc.

    Abstract: Methods and apparatus related to determining reply content for a reply to an electronic communication. Some implementations are directed generally toward analyzing a corpus of electronic communications to determine relationships between one or more original message features of “original” messages of electronic communications and reply content that is included in “reply” messages of those electronic communications. Some implementations are directed generally toward providing reply text to include in a reply to a communication based on determined relationships between one or more message features of the communication and the reply text.

    Abstract translation: 与确定对电子通信的回复的回复内容相关的方法和装置。 一些实施方式通常指向分析电子通信语料库以确定电子通信的“原始”消息的一个或多个原始消息特征与包括在那些电子通信的“回复”消息中的回复内容之间的关系。 一些实施方式通常指向提供答复文本以包括在基于通信的一个或多个消息特征与回复文本之间确定的关系的对通信的回复中。

    Techniques for automatic generation of natural language text
    53.
    发明授权
    Techniques for automatic generation of natural language text 有权
    自动生成自然语言文本的技巧

    公开(公告)号:US09411804B1

    公开(公告)日:2016-08-09

    申请号:US13943896

    申请日:2013-07-17

    Applicant: YSEOP SA

    CPC classification number: G06F17/28 G06F17/2881

    Abstract: Techniques for use in connection with a system for automatically generating text. Techniques include accessing information specifying at least one referential expression for at least a first referent and at least one anaphoric expression for at least the first referent; accessing a template that includes human-language text and a first tag that serves as a placeholder for a first text portion including a reference to at least the first referent; automatically identifying, using at least one system rule and at least one processor, text to use for the first text portion at least in part by determining whether to use as the text for the first text portion the at least one referential expression or the at least one anaphoric expression; and automatically generating output text including the human-language text and the identified text for the first text portion.

    Abstract translation: 用于与自动生成文本的系统结合使用的技术。 技术包括访问指定至少第一指示物的至少一个参考表达的信息和用于至少第一指示物的至少一个描述性表达; 访问包括人文语言的模板和用作第一文本部分的占位符的第一标签,所述第一标签包括至少对所述第一指示符的引用; 至少部分地使用至少一个系统规则和至少一个处理器来识别用于第一文本部分的文本,以通过确定是否将第一文本部分的文本用作至少一个参考表达,或至少使用 一个比喻表达; 并自动产生包括人文语言文本和第一文本部分的识别文本的输出文本。

    Adaptive Testing for Answers in a Question and Answer System
    54.
    发明申请
    Adaptive Testing for Answers in a Question and Answer System 有权
    问答系统中的答案自适应测试

    公开(公告)号:US20160171371A1

    公开(公告)日:2016-06-16

    申请号:US14566449

    申请日:2014-12-10

    Abstract: An approach is provided in which an information handling system analyzes correction information corresponding to an answer generated by a question answer system. The correction information includes a correction to the answer and captured variable information utilized by the question answer system to generate the answer. The information handling system selects input variables based upon the correction analysis and generates a test case that includes the selected input variables and the variable information. In turn, the information handling system tests the question answer system using the generated test case.

    Abstract translation: 提供了一种方法,其中信息处理系统分析对应于由问题答案系统产生的答案的校正信息。 校正信息包括对答案的纠正和由问题答案系统利用的捕获变量信息以产生答案。 信息处理系统基于校正分析来选择输入变量,并生成包括所选择的输入变量和变量信息的测试用例。 反过来,信息处理系统使用生成的测试用例来测试问题答案系统。

    Customized speech generation
    55.
    发明授权
    Customized speech generation 有权
    定制语音生成

    公开(公告)号:US09363104B2

    公开(公告)日:2016-06-07

    申请号:US14257922

    申请日:2014-04-21

    Abstract: Various approaches enable automatic communication generation based on patterned behavior in a particular context. For example, a computing device can monitor behavior of a user to determine patterns of communication behavior in certain situations. In response to detecting multiple occurrences of the certain situation, a computing device can prompt a user to perform an action corresponding to the pattern of behavior. In some embodiments, a set of speech models corresponding to a type of contact is generated. The speech models include language consistent with patterns of speech between a user and the type of contact. Based on context and on the contact, a message using language consistent with past communications between the user and contact is generated from a speech model associated with the type of contact.

    Abstract translation: 各种方法使得能够在特定上下文中基于图案行为的自动通信生成。 例如,计算设备可以监视用户的行为以确定某些情况下的通信行为的模式。 响应于检测到多次出现某些情况,计算设备可以提示用户执行与行为模式相对应的动作。 在一些实施例中,生成对应于一种类型的联系的一组语音模型。 语音模型包括与用户与联系人类型之间的语言模式一致的语言。 基于上下文和联系人,使用与用户和联系人之间的过去通信一致的语言的消息从与联系人类型相关联的语音模型生成。

    Information processing apparatus and phrase output method for determining phrases based on an image
    56.
    发明授权
    Information processing apparatus and phrase output method for determining phrases based on an image 有权
    用于基于图像确定短语的信息处理设备和短语输出方法

    公开(公告)号:US09361316B2

    公开(公告)日:2016-06-07

    申请号:US13551908

    申请日:2012-07-18

    Abstract: In one aspect, an information processing system for determining complimentary phrases to present to a recipient is provided. The information processing system may receive an input image depicting a subject. A difference in appearance between the subject depicted in the input image and a model subject may be determined. One or more phrases (e.g., complimentary phrases) may be selected from a plurality of categorized phrase candidates based on the identified difference in appearance between the subject and the model subject. The difference in appearance may be determined by comparing selected features (e.g., skin, hair, eyes) of the subject with one or more predetermined features of the model subject. The model subject may be the same or different than the subject depicted in the input image.

    Abstract translation: 一方面,提供了一种用于确定向接收者呈现的互补短语的信息处理系统。 信息处理系统可以接收描绘对象的输入图像。 可以确定输入图像中所描绘的对象与模型对象之间的外观差异。 可以基于所识别的对象与模型对象之间的外观差异,从多个分类短语候选中选择一个或多个短语(例如,免费短语)。 可以通过将受试者的所选特征(例如,皮肤,头发,眼睛)与模型对象的一个​​或多个预定特征进行比较来确定外观差异。 模型对象可以与输入图像中描绘的对象相同或不同。

    Method and apparatus for referring expression generation
    57.
    发明授权
    Method and apparatus for referring expression generation 有权
    参考表达生成的方法和装置

    公开(公告)号:US09355093B2

    公开(公告)日:2016-05-31

    申请号:US14634119

    申请日:2015-02-27

    CPC classification number: G06F17/2775 G06F17/278 G06F17/2881

    Abstract: Methods, apparatuses, and computer program products are described herein that are configured to perform referring expression generation. In some example embodiments, a method is provided that comprises identifying an intended referent to be referred to in a textual output. The method of this embodiment may also include determining that a salient ancestor of the intended referent is lower in a part-of hierarchy than a lowest common ancestor. The method of this embodiment may also include causing the salient ancestor to be set as a current target referent and a new salient ancestor to be determined for the current target referent. In some example embodiments, the default descriptor of each current target referent is added to the referring noun phrase and the part-of hierarchy is traversed via salient ancestor links until the new salient ancestor of the current target referent is higher than or equal to the lowest common ancestor.

    Abstract translation: 这里描述了被配置为执行参考表达式生成的方法,装置和计算机程序产品。 在一些示例性实施例中,提供了一种方法,其包括识别在文本输出中要引用的预期指示物。 该实施例的方法还可以包括确定预期指示物的显着祖先在一部分层级中比最低共同祖先更低。 本实施例的方法还可以包括使显着的祖先被设置为当前目标对象,并为当前目标对象确定新的显着祖先。 在一些示例性实施例中,将每个当前目标对象的默认描述符添加到引用名词短语,并且通过显着祖先链接遍历部分层级,直到当前目标对象的新显着祖先高于或等于最低 共同的祖先。

    METHOD AND SYSTEM FOR MACHINE COMPREHENSION
    58.
    发明申请

    公开(公告)号:US20160124945A1

    公开(公告)日:2016-05-05

    申请号:US14995241

    申请日:2016-01-14

    CPC classification number: G06F17/2881 G06N5/02 G06N5/04 G06N20/00

    Abstract: The AKOS (Artificial Knowledge Object System) of the invention is a software processing engine that relates incoming information to pre-existing stored knowledge in the form of a world model and, through a process analogous to human learning and comprehension, updates or extends the knowledge contained in the model, based on the content of the new information. Incoming information can come from sensors, computer to computer communication, or natural human language in the form of text messages. The software creates as an output. Intelligent action is defined as an output to the real-world accompanied by an alteration to the internal world model which accurately reflects an expected, specified outcome from the action. These actions may be control signals across any standard electronic computer interface or may be direct communications to a human in natural language.

    Method and apparatus for situational analysis text generation
    59.
    发明授权
    Method and apparatus for situational analysis text generation 有权
    情境分析文本生成的方法和装置

    公开(公告)号:US09323743B2

    公开(公告)日:2016-04-26

    申请号:US14311998

    申请日:2014-06-23

    Inventor: Ehud B. Reiter

    Abstract: Methods, apparatuses, and computer program products are described herein that are configured to generate a situational analysis text. In some example embodiments, a method is provided that comprises generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to an alert condition. The method of this embodiment may also include generating a situational analysis text based on the set of messages and the relationships between them. In some example embodiments, the situational analysis text is configured to linguistically express the one or more key events, the one or more significant events, and the relationships between the one or more key events and the one or more significant events.

    Abstract translation: 这里描述了被配置为生成情境分析文本的方法,装置和计算机程序产品。 在一些示例性实施例中,提供了一种方法,其包括基于主数据信道中的一个或多个密钥事件和响应于警报条件的一个或多个相关数据信道中的一个或多个重要事件生成一组消息。 该实施例的方法还可以包括基于消息集合和它们之间的关系生成情境分析文本。 在一些示例性实施例中,情境分析文本被配置为语言表达一个或多个关键事件,一个或多个重要事件以及一个或多个关键事件与一个或多个重要事件之间的关系。

    Semantic phrase suggestion engine
    60.
    发明授权
    Semantic phrase suggestion engine 有权
    语义短语建议引擎

    公开(公告)号:US09311296B2

    公开(公告)日:2016-04-12

    申请号:US14610498

    申请日:2015-01-30

    CPC classification number: G06F17/2785 G06F17/28 G06F17/2881

    Abstract: A semantic phrase suggestion engine that provides term and sentence suggestions based on context-specific user groups. Knowledge domains within a semantic network may be automatically derived from user software applications, and each term within the knowledge domain includes meta-data about the terms, e.g., term type and an importance indicator. The indicators may be defined within the context of specific user groups and relate to how many times that group has used the term (e.g., in documents, emails, etc.) The semantic phrase suggestion engine may also include spelling conditions and grammar conditions, which can then provide phrase suggestions according to the conditions and importance indicators, specific to a user group.

    Abstract translation: 一种基于上下文特定用户组提供术语和句子建议的语义短语建议引擎。 语义网络内的知识领域可以从用户软件应用程序自动导出,并且知识领域内的每个术语包括关于术语的元数据,例如术语类型和重要性指标。 指标可以在特定用户组的上下文中定义,并且涉及该组使用该术语的次数(例如,在文档,电子邮件等中)。语义短语建议引擎还可以包括拼写条件和语法条件,其中 然后可以根据具体针对用户组的条件和重要性指标提供短语建议。

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