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    Training Statistical Dialog Managers in Spoken Dialog Systems With Web Data
    4.
    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
    5.
    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。

    Answer determination for natural language questioning
    7.
    发明授权
    Answer determination for natural language questioning 有权
    回答自然语言提问的决心

    公开(公告)号：US08832064B2

    公开(公告)日：2014-09-09

    申请号：US11319188

    申请日：2005-12-28

    申请人： Svetlana Stenchikova ,  Gokhan Tur ,  Dilek Hakkani Tur

    发明人： Svetlana Stenchikova ,  Gokhan Tur ,  Dilek Hakkani Tur

    IPC分类号： G06F7/00 ,  G06F17/30 ,  G06F17/27

    CPC分类号： G06F17/30401 ,  G06F17/279 ,  G06F17/30657 ,  G06F17/30864

    摘要： Open-domain question answering is the task of finding a concise answer to a natural language question using a large domain, such as the Internet. The use of a semantic role labeling approach to the extraction of the answers to an open domain factoid (Who/When/What/Where) natural language question that contains a predicate is described. Semantic role labeling identities predicates and semantic argument phrases in the natural language question and the candidate sentences. When searching for an answer to a natural language question, the missing argument in the question is matched using semantic parses of the candidate answers. Such a technique may improve the accuracy of a question answering system and may decrease the length of answers for enabling voice interface to a question answering system.

    摘要翻译： 开放域问答是使用大型域（如互联网）找到一个简明的自然语言问题答案的任务。 描述了使用语义角色标注方法来提取对包含谓词的开放域factoid（Who / When / What / Where）自然语言问题的答案。 自然语言问题和候选句子中的语义角色标识身份谓词和语义参数短语。 在搜索自然语言问题的答案时，使用候选答案的语义分析来匹配问题中的缺失参数。 这样的技术可以提高问答系统的准确性，并且可以减少用于启用语音接口到问答系统的答案的长度。

    System and method of providing an automated data-collection in spoken dialog systems
    10.
    发明申请
    System and method of providing an automated data-collection in spoken dialog systems 有权
    在口头对话系统中提供自动数据收集的系统和方法

    公开(公告)号：US20060149555A1

    公开(公告)日：2006-07-06

    申请号：US11029798

    申请日：2005-01-05

    申请人： Giuseppe Fabbrizio ,  Dilek Hakkani-Tur ,  Mazin Rahim ,  Bernard Renger ,  Gokhan Tur

    发明人： Giuseppe Fabbrizio ,  Dilek Hakkani-Tur ,  Mazin Rahim ,  Bernard Renger ,  Gokhan Tur

    IPC分类号： G10L21/00

    CPC分类号： G10L15/063 ,  G10L15/183 ,  G10L15/22

    摘要： The invention relates to a system and method for gathering data for use in a spoken dialog system. An aspect of the invention is generally referred to as an automated hidden human that performs data collection automatically at the beginning of a conversation with a user in a spoken dialog system. The method comprises presenting an initial prompt to a user, recognizing a received user utterance using an automatic speech recognition engine and classifying the recognized user utterance using a spoken language understanding module. If the recognized user utterance is not understood or classifiable to a predetermined acceptance threshold, then the method re-prompts the user. If the recognized user utterance is not classifiable to a predetermined rejection threshold, then the method transfers the user to a human as this may imply a task-specific utterance. The received and classified user utterance is then used for training the spoken dialog system.

    摘要翻译： 本发明涉及一种用于收集在口头对话系统中使用的数据的系统和方法。 本发明的一个方面通常被称为在与对话系统中的用户的对话开始时自动执行数据收集的自动隐藏人。 该方法包括向用户呈现初始提示，使用自动语音识别引擎识别接收到的用户话语，并使用口语理解模块对所识别的用户话语进行分类。 如果识别的用户话语不能被理解或可被分类到预定的接受阈值，则该方法重新提示用户。 如果识别的用户话语不能被分类为预定的拒绝阈值，则该方法将用户转移给人，因为这可能意味着任务特定的话语。 然后，接收和分类的用户话语用于训练口语对话系统。