Ontology expansion using entity-association rules and abstract relations

    公开(公告)号:US11030406B2

    公开(公告)日:2021-06-08

    申请号:US15007703

    申请日:2016-01-27

    Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

    System and Method of Automated Model Adaptation
    2.
    发明申请
    System and Method of Automated Model Adaptation 有权
    自动模型适应的系统和方法

    公开(公告)号:US20150066502A1

    公开(公告)日:2015-03-05

    申请号:US14291893

    申请日:2014-05-30

    Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.

    Abstract translation: 用于自动转录模型适应的方法,系统和计算机可读介质包括从多个音频文件获得音频数据。 音频数据被转录以产生表示每个音频文件的多个转录替代品的至少一个音频文件转录。 语音分析应用于每个音频文件转录。 从每个音频文件的多个转录替代品中选择最佳转录。 计算出所选择的最佳转录数据。 从计算的统计信息创建一个适应模型。

    System and method of automated language model adaptation
    3.
    发明授权
    System and method of automated language model adaptation 有权
    自动语言模型适应的系统和方法

    公开(公告)号:US09508346B2

    公开(公告)日:2016-11-29

    申请号:US14291895

    申请日:2014-05-30

    Abstract: Systems and methods of automated adaptation of a language model for transcription of audio data include obtaining audio data. The audio data is transcribed with a language model to produce a plurality of audio file transcriptions. A quality of the plurality of audio file transcriptions is evaluated. At least one best transcription from a plurality of audio file transcriptions is selected based upon the evaluated quality. Statistics are calculated from the selected at least one best transcription from the plurality of audio file transcriptions. The language model is modified from the calculated statistics.

    Abstract translation: 用于音频数据转录的语言模型的自动适应的系统和方法包括获得音频数据。 音频数据用语言模型转录以产生多个音频文件转录。 评估多个音频文件转录的质量。 基于评估的质量来选择来自多个音频文件转录的至少一个最佳转录。 根据来自多个音频文件转录的所选择的至少一个最佳转录来计算统计量。 语言模型根据计算的统计信息进行修改。

    ONTOLOGY EXPANSION USING ENTITY-ASSOCIATION RULES AND ABSTRACT RELATIONS
    5.
    发明申请
    ONTOLOGY EXPANSION USING ENTITY-ASSOCIATION RULES AND ABSTRACT RELATIONS 审中-公开
    使用实体协会规则和摘要关系的本体扩展

    公开(公告)号:US20160217128A1

    公开(公告)日:2016-07-28

    申请号:US15007703

    申请日:2016-01-27

    CPC classification number: G06F17/2775 G06F16/367 G06F17/277

    Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

    Abstract translation: 一种用于通过处理通信数据来扩展初始本体的方法,其中初始本体是包括一组实体的语言元素的结构表示,一组术语,一组术语 - 实体关联,一组实体关联规则 ,一组抽象关系,以及一组关系实例。 一种用于从输入文档集中提取一组重要短语和一组重要短语共同出现的方法还包括利用这些术语来识别通信数据训练集内的关系,其中关系是出现的一对术语 彼此接近。

    System and Method of Automated Language Model Adaptation
    6.
    发明申请
    System and Method of Automated Language Model Adaptation 有权
    自动语言模型适应的系统与方法

    公开(公告)号:US20150066503A1

    公开(公告)日:2015-03-05

    申请号:US14291895

    申请日:2014-05-30

    Abstract: Systems and methods of automated adaptation of a language model for transcription of audio data include obtaining audio data. The audio data is transcribed with a language model to produce a plurality of audio file transcriptions. A quality of the plurality of audio file transcriptions is evaluated. At least one best transcription from a plurality of audio file transcriptions is selected based upon the evaluated quality. Statistics are calculated from the selected at least one best transcription from the plurality of audio file transcriptions. The language model is modified from the calculated statistics.

    Abstract translation: 用于音频数据转录的语言模型的自动适应的系统和方法包括获得音频数据。 音频数据用语言模型转录以产生多个音频文件转录。 评估多个音频文件转录的质量。 基于评估的质量来选择来自多个音频文件转录的至少一个最佳转录。 根据来自多个音频文件转录的所选择的至少一个最佳转录来计算统计量。 语言模型根据计算的统计信息进行修改。

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