BETTER RESOLUTION WHEN REFERENCING TO CONCEPTS

    公开(公告)号:US20170186429A1

    公开(公告)日:2017-06-29

    申请号:US15458664

    申请日:2017-03-14

    Applicant: Apple Inc.

    Abstract: Systems and processes for operating a virtual assistant programmed to refer to shared domain concepts using concept nodes are provided. In an example process, user speech input is received. A textual representation of the user speech input is generated. The textual representation is parsed to determine a primary domain representing a user intent for the textual representation. A first substring from the textual representation that corresponds to a first attribute of the primary domain is identified. The identified first substring is parsed to determine a secondary domain representing a user intent for the first substring. A task flow comprising one or more tasks is performed based on the primary domain and the secondary domain.

    BETTER RESOLUTION WHEN REFERENCING TO CONCEPTS
    3.
    发明申请
    BETTER RESOLUTION WHEN REFERENCING TO CONCEPTS 有权
    参考概念时的更好的决议

    公开(公告)号:US20150348549A1

    公开(公告)日:2015-12-03

    申请号:US14500703

    申请日:2014-09-29

    Applicant: Apple Inc.

    Abstract: Systems and processes for operating a virtual assistant programmed to refer to shared domain concepts using concept nodes are provided. In some examples, to process a textual representation of user speech using an active ontology having these concept nodes, a primary user intent can be determined from the textual representation of user speech. Concepts referred to by the primary user intent can be identified, and substrings of the textual representation of user speech corresponding to the concepts can be identified. Secondary user intents for the substrings can be determined and a task flow based on the primary user intent and the secondary user intents can be generated and performed.

    Abstract translation: 提供了使用概念节点操作被编程为引用共享域概念的虚拟助手的系统和过程。 在一些示例中,为了使用具有这些概念节点的活动本体来处理用户语音的文本表示,可以从用户语音的文本表示来确定主要用户意图。 可以识别由主用户意图引用的概念,并且可以识别与概念相对应的用户语音的文本表示的子串。 可以确定子串的次要用户意图,并且可以生成并执行基于主用户意图和次用户意图的任务流。

    BETTER RESOLUTION WHEN REFERENCING TO CONCEPTS

    公开(公告)号:US20190057697A1

    公开(公告)日:2019-02-21

    申请号:US16113464

    申请日:2018-08-27

    Applicant: Apple Inc.

    Abstract: Systems and processes for operating a virtual assistant programmed to refer to shared domain concepts using concept nodes are provided. In an example process, user speech input is received. A textual representation of the user speech input is generated. The textual representation is parsed to determine a primary domain representing a user intent for the textual representation. A first substring from the textual representation that corresponds to a first attribute of the primary domain is identified. The identified first substring is parsed to determine a secondary domain representing a user intent for the first substring. A task flow comprising one or more tasks is performed based on the primary domain and the secondary domain.

    DETERMINING DOMAIN SALIENCE RANKING FROM AMBIGUOUS WORDS IN NATURAL SPEECH
    5.
    发明申请
    DETERMINING DOMAIN SALIENCE RANKING FROM AMBIGUOUS WORDS IN NATURAL SPEECH 有权
    确定自然语言中的无名词中的域名排名

    公开(公告)号:US20150348565A1

    公开(公告)日:2015-12-03

    申请号:US14490372

    申请日:2014-09-18

    Applicant: APPLE INC.

    Abstract: Systems and processes for identifying relevant domains for user inputs that include one or more ambiguous words are disclosed. The ambiguous words include words that may or may not refer to a named entity, such as a song, movie, book, etc. In one example, a textual representation of user speech can be received and processed to identify a candidate named entity. The possible parts of speech of the candidate named entity can be determined and compared to a predetermined set of parts of speech. In response to determining that the possible parts of speech of the candidate named entity do not include one or more of the predetermined set of parts of speech, a saliency score associated with the candidate named entity can be lowered. A domain for processing the textual representation of user speech can then be identified using the saliency score associated with the candidate named entity.

    Abstract translation: 公开了用于识别包括一个或多个模糊词的用户输入的相关域的系统和过程。 模糊词包括可以引用或不指代命名实体(例如歌曲,电影,书籍等)的单词。在一个示例中,可以接收并处理用户语音的文本表示以标识候选的名称实体。 可以确定候选名称实体的可能的语音部分并将其与预定的一组部分语音进行比较。 响应于确定候选命名实体的可能的部分语音不包括预定的一部分语音中的一个或多个,可以降低与候选命名实体相关联的显着性得分。 然后可以使用与候选命名实体相关联的显着性得分来识别用于处理用户语音的文本表示的域。

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