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    Training Statistical Dialog Managers in Spoken Dialog Systems With Web Data
    3.
    发明申请
    Training Statistical Dialog Managers in Spoken Dialog Systems With Web Data 审中-公开
    使用Web数据训练口语对话系统中的统计对话管理器

    公开(公告)号：US20120290509A1

    公开(公告)日：2012-11-15

    申请号：US13234186

    申请日：2011-09-16

    申请人： Larry Paul Heck ,  Dilek Hakkani-Tur ,  Rukmini Iyer ,  Gokhan Tur

    发明人： Larry Paul Heck ,  Dilek Hakkani-Tur ,  Rukmini Iyer ,  Gokhan Tur

    IPC分类号： G10L11/00 ,  G06F15/18

    CPC分类号： G10L15/06 ,  G10L15/22

    摘要： Training for a statistical dialog manager may be provided. A plurality of log data associated with an intent may be received, and at least one step associated with completing the intent according to the plurality of log data may be identified. An understanding model associated with the intent may be created, including a plurality of queries mapped to the intent. In response to receiving a natural language query from a user that is associated with the intent a response to the user may be provided according to the understanding model.

    摘要翻译： 可以提供统计对话管理员的训练。 可以接收与意图相关联的多个日志数据，并且可以识别与根据多个日志数据完成意图相关联的至少一个步骤。 可以创建与意图相关联的理解模型，包括映射到意图的多个查询。 响应于从用户接收到与意图相关联的自然语言查询，可以根据理解模型提供对用户的响应。

    Exploiting Query Click Logs for Domain Detection in Spoken Language Understanding
    7.
    发明申请
    Exploiting Query Click Logs for Domain Detection in Spoken Language Understanding 审中-公开
    利用查询单击日志进行域名检测在口语中的理解

    公开(公告)号：US20120290293A1

    公开(公告)日：2012-11-15

    申请号：US13234202

    申请日：2011-09-16

    申请人： Dilek Hakkani-Tur ,  Larry Paul Heck ,  Gokhan Tur

    发明人： Dilek Hakkani-Tur ,  Larry Paul Heck ,  Gokhan Tur

    IPC分类号： G06F17/27

    CPC分类号： G06F16/951 ,  G06F16/3338

    摘要： Domain detection training in a spoken language understanding system may be provided. Log data associated with a search engine, each associated with a search query, may be received. A domain label for each search query may be identified and the domain label and link data may be provided to a training set for a spoken language understanding model.

    摘要翻译： 可以提供口语理解系统中的域检测训练。 可以接收与搜索引擎相关联的每个与搜索查询相关联的日志数据。 可以识别每个搜索查询的域标签，并且可以将域标签和链接数据提供给用于口语语言理解模型的训练集。

    CONTEXTUAL QUERY ADJUSTMENTS USING NATURAL ACTION INPUT
    8.
    发明申请
    CONTEXTUAL QUERY ADJUSTMENTS USING NATURAL ACTION INPUT 审中-公开
    使用自然行动输入进行内部查询调整

    公开(公告)号：US20140019462A1

    公开(公告)日：2014-01-16

    申请号：US13549503

    申请日：2012-07-15

    申请人： Larry Paul Heck ,  Madhusudan Chinthakunta ,  Rukmini Iyer

    发明人： Larry Paul Heck ,  Madhusudan Chinthakunta ,  Rukmini Iyer

    IPC分类号： G06F17/30

    CPC分类号： G06F16/20

    摘要： Within the field of computing, many scenarios involve queries formulated by users resulting in query results presented by a device. The user may request to adjust the query, but many devices can only process requests specified in a well-structured manner, such as a set of recognized keywords, specific verbal commands, or a specific manual gesture. The user thus communicates the adjustment request in the constraints of the device, even if the query is specified in a natural language. Presented herein are techniques for enabling users to specify query adjustments with natural action input (e.g., natural-language speech, vocal inflection, and natural manual gestures). The device may be configured to evaluate the natural action input, identify the user's intended query adjustments, generate an adjusted query, and present an adjusted query result, thus enabling the user to interact with the device in a similar manner as communicating with an individual.

    摘要翻译： 在计算领域中，许多场景涉及由用户制定的查询，从而产生由设备呈现的查询结果。 用户可以请求调整查询，但是许多设备只能处理以良好结构化方式指定的请求，例如一组已识别的关键字，特定的语言命令或特定的手动手势。 因此，即使以自然语言指定查询，用户因此在设备的约束中传达调整请求。 这里提供的是使用户能够使用自然动作输入（例如，自然语言语音，声音变形和自然手动手势）来指定查询调整的技术。 该设备可以被配置为评估自然动作输入，识别用户的预期查询调整，生成经调整的查询，并呈现经调整的查询结果，从而使得用户能够以与与个人通信相似的方式与设备进行交互。

    Satisfying specified intent(s) based on multimodal request(s)
    9.
    发明授权
    Satisfying specified intent(s) based on multimodal request(s) 有权
    根据多式联运请求满足指定意图（s）

    公开(公告)号：US08788269B2

    公开(公告)日：2014-07-22

    申请号：US13327339

    申请日：2011-12-15

    申请人： Lisa J. Stifelman ,  Anne K. Sullivan ,  Adam D. Elman ,  Larry Paul Heck ,  Stephanos Tryphonas ,  Kamran Rajabi Zargahi ,  Ken H. Thai

    发明人： Lisa J. Stifelman ,  Anne K. Sullivan ,  Adam D. Elman ,  Larry Paul Heck ,  Stephanos Tryphonas ,  Kamran Rajabi Zargahi ,  Ken H. Thai

    IPC分类号： G06F3/0482

    CPC分类号： G10L17/22 ,  G06F3/0482 ,  G06F3/167 ,  G10L15/18 ,  G10L2015/223

    摘要： Techniques are described herein that are capable of satisfying specified intent(s) based on multimodal request(s). A multimodal request is a request that includes at least one request of a first type and at least one request of a second type that is different from the first type. Example types of request include but are not limited to a speech request, a text command, a tactile command, and a visual command. A determination is made that one or more entities in visual content are selected in accordance with an explicit scoping command from a user. In response, speech understanding functionality is automatically activated, and audio signals are automatically monitored for speech requests from the user to be processed using the speech understanding functionality.

    摘要翻译： 本文描述了能够基于多模式请求来满足指定意图的技术。 多模式请求是包括至少一个第一类型的请求和与第一类型不同的第二类型的至少一个请求的请求。 示例类型的请求包括但不限于语音请求，文本命令，触觉命令和视觉命令。 确定根据来自用户的显式作用域命令来选择视觉内容中的一个或多个实体。 作为响应，语音理解功能被自动激活，并且使用语音理解功能来自动监视来自用户处理的语音请求的音频信号。

    Conversational Dialog Learning and Correction
    10.
    发明申请
    Conversational Dialog Learning and Correction 审中-公开
    对话对话学习与修正

    公开(公告)号：US20120253789A1

    公开(公告)日：2012-10-04

    申请号：US13077233

    申请日：2011-03-31

    申请人： Larry Paul Heck ,  Madhusudan Chinthakunta ,  David Mitby ,  Lisa Stifelman

    发明人： Larry Paul Heck ,  Madhusudan Chinthakunta ,  David Mitby ,  Lisa Stifelman

    IPC分类号： G06F17/27

    CPC分类号： G10L15/1822

    摘要： Conversational dialog learning and correction may be provided. Upon receiving a natural language phrase from a first user, at least one second user associated with the natural language phrase may be identified. A context state may be created according to the first user and the at least one second user. The natural language phrase may then be translated into an agent action according to the context state.

    摘要翻译： 可以提供对话学习和校正。 在从第一用户接收到自然语言短语时，可以识别与自然语言短语相关联的至少一个第二用户。 可以根据第一用户和至少一个第二用户来创建上下文状态。 然后可以根据上下文状态将自然语言短语翻译成代理动作。