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    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING
    2.
    发明申请
    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING 审中-公开

    公开(公告)号：US20160217131A1

    公开(公告)日：2016-07-28

    申请号：US15090699

    申请日：2016-04-05

    Applicant: International Business Machines Corporation

    Inventor： Stephen J. Edwards ,  Ahmed M. Nassar ,  Craig M. Trim ,  Albert T. Wong

    IPC: G06F17/27 ,  G06F17/24

    CPC classification number: G06F17/2795 ,  G06F17/241 ,  G06F17/2705 ,  G06F17/277 ,  G06F17/2785

    Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

    IDENTIFYING RELATED INFORMATION IN DISSIMILAR DATA
    3.
    发明申请
    IDENTIFYING RELATED INFORMATION IN DISSIMILAR DATA 审中-公开
    识别DISSIMILAR数据中的相关信息

    公开(公告)号：US20160210314A1

    公开(公告)日：2016-07-21

    申请号：US14599656

    申请日：2015-01-19

    Applicant: International Business Machines Corporation

    Inventor： Andrew R. Freed ,  Ahmed M. Nassar ,  Eman Omar ,  Craig M. Trim

    IPC: G06F17/30 ,  G06F17/27

    CPC classification number: G06F16/36 ,  G06F16/21 ,  G06F16/3344 ,  G06F16/367 ,  G06F16/374

    Abstract: A method, system, and computer program product for identifying related information in dissimilar data are provided in the illustrative embodiments. Using a first part of a first entry in a dictionary, a first portion is identified in a first data, the first part matching the first portion within a tolerance. A second part of the first entry referencing a section of a second data is determined, the second data being organized in a repository according to a schema. A third part of the first entry sufficient to locate a record in the section of the second data is determined. A query is constructed using the second part and the third part, and performed on the second data. A result set is obtained, wherein a record in the result set is related to the first portion in the first data and the record does not include the first portion.

    Abstract translation: 在说明性实施例中提供了用于在不同数据中识别相关信息的方法，系统和计算机程序产品。 使用字典中的第一条目的第一部分，以第一数据标识第一部分，第一部分与公差内的第一部分匹配。 确定引用第二数据的一部分的第一条目的第二部分，根据模式将第二数据组织在存储库中。 确定足以在第二数据的部分中定位记录的第一条目的第三部分。 使用第二部分和第三部分构造查询，并对第二数据执行查询。 获得结果集，其中结果集中的记录与第一数据中的第一部分相关，并且记录不包括第一部分。

    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING
    7.
    发明申请
    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING 有权
    天文学自然语言处理中的同义词的背景验证

    公开(公告)号：US20150142419A1

    公开(公告)日：2015-05-21

    申请号：US14084827

    申请日：2013-11-20

    Applicant: International Business Machines Corporation

    Inventor： Stephen J. Edwards ,  Ahmed M. Nassar ,  Craig M. Trim ,  Albert T. Wong

    IPC: G06F17/27

    CPC classification number: G06F17/2795 ,  G06F17/241 ,  G06F17/2705 ,  G06F17/277 ,  G06F17/2785

    Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

    Abstract translation: 本文描述的实施例提供了用于验证本体驱动的自然语言处理中的同义词的方法。 具体地，提供了一种用于接收包含令牌的用户输入的方法，将用户输入构造成语义模型，该语义模型包括一组类，每个类包含令牌的一组相关置换，将该令牌指定为该集合中的一个的同义词 的相关排列，从与所述一组相关排列中的一组相对应的类的集合中用类注释标记，以及通过确定令牌的指定的准确性来确定令牌的注释，作为其中之一的同义词 一组相关排列。 在一个实施例中，通过在用户输入内量化令牌和语境令牌之间的线性距离，并将线性距离与预定的线性距离限制进行比较来确定精度。

    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING
    8.
    发明申请
    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING 审中-公开

    公开(公告)号：US20190384818A1

    公开(公告)日：2019-12-19

    申请号：US16553796

    申请日：2019-08-28

    Applicant: International Business Machines Corporation

    Inventor： Stephen J. Edwards ,  Ahmed M. Nassar ,  Craig M. Trim ,  Albert T. Wong

    IPC: G06F17/27 ,  G06F17/24

    Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING
    9.
    发明申请
    CONTEXTUAL VALIDATION OF SYNONYMS IN OTOLOGY DRIVEN NATURAL LANGUAGE PROCESSING 审中-公开

    公开(公告)号：US20190065475A1

    公开(公告)日：2019-02-28

    申请号：US16173186

    申请日：2018-10-29

    Applicant: International Business Machines Corporation

    Inventor： Stephen J. Edwards ,  Ahmed M. Nassar ,  Craig M. Trim ,  Albert T. Wong

    IPC: G06F17/27 ,  G06F17/24

    Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

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