DETERMINING DOMAIN SALIENCE RANKING FROM AMBIGUOUS WORDS IN NATURAL SPEECH
    1.
    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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