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    • 7. 发明授权
    • Extraction of attributes and values from natural language documents
    • 从自然语言文件中提取属性和值
    • US07996440B2
    • 2011-08-09
    • US11742215
    • 2007-04-30
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • G06F17/30
    • G06F17/27G06F17/2745
    • One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.
    • 一个或多个分类算法被应用于至少一个自然语言文档,以便提取给定产品的属性和值。 为此,可以采用监督分类算法,半监督分类算法,无监督分类算法或这种分类算法的组合。 可以经由公共通信网络获得至少一个自然语言文档。 如此识别的两个或多个属性(或两个或多个值)可以被合并以形成一个或多个属性短语或值短语。 一旦以这种方式提取了属性和值,就可以执行关联或链接操作来建立描述产品的属性值对。 在当前优选的实施例中,(无监督)算法用于生成种子属性和值,然后可以支持受监督或半监督分类算法。
    • 9. 发明授权
    • Extraction of attributes and values from natural language documents
    • 从自然语言文件中提取属性和值
    • US08626801B2
    • 2014-01-07
    • US13197906
    • 2011-08-04
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • G06F17/30
    • G06F17/27G06F17/2745
    • One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.
    • 一个或多个分类算法被应用于至少一个自然语言文档,以便提取给定产品的属性和值。 为此,可以采用监督分类算法,半监督分类算法,无监督分类算法或这种分类算法的组合。 可以经由公共通信网络获得至少一个自然语言文档。 如此识别的两个或多个属性(或两个或多个值)可以被合并以形成一个或多个属性短语或值短语。 一旦以这种方式提取了属性和值,就可以执行关联或链接操作来建立描述产品的属性值对。 在当前优选的实施例中,(无监督)算法用于生成种子属性和值,然后可以支持受监督或半监督分类算法。
    • 10. 发明申请
    • EXTRACTION OF ATTRIBUTES AND VALUES FROM NATURAL LANGUAGE DOCUMENTS
    • 从自然语言文件中提取属性和价值
    • US20120036100A1
    • 2012-02-09
    • US13197906
    • 2011-08-04
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • G06N5/02
    • G06F17/27G06F17/2745
    • One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.
    • 一个或多个分类算法被应用于至少一个自然语言文档,以便提取给定产品的属性和值。 为此,可以采用监督分类算法,半监督分类算法,无监督分类算法或这种分类算法的组合。 可以经由公共通信网络获得至少一个自然语言文档。 如此识别的两个或多个属性(或两个或多个值)可以被合并以形成一个或多个属性短语或值短语。 一旦以这种方式提取了属性和值,就可以执行关联或链接操作来建立描述产品的属性值对。 在当前优选的实施例中,(无监督)算法用于生成种子属性和值,然后可以支持受监督或半监督分类算法。