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    METHOD AND SYSTEM FOR AUTOMATING TRAINING OF NAMED ENTITY RECOGNITION IN NATURAL LANGUAGE PROCESSING
    2.
    发明申请
    METHOD AND SYSTEM FOR AUTOMATING TRAINING OF NAMED ENTITY RECOGNITION IN NATURAL LANGUAGE PROCESSING 审中-公开

    公开(公告)号：US20180075013A1

    公开(公告)日：2018-03-15

    申请号：US15473424

    申请日：2017-03-29

    Applicant: Infosys Limited

    Inventor： Abdul Razack ,  Sudipto Dasgupta ,  Mayoor Rao ,  John Kuriakose

    IPC: G06F17/27 ,  G06N99/00 ,  G06N5/02 ,  G06F17/30

    Abstract: A method and system automates training named entity recognition in natural language processing to build configurable entity definitions includes receiving input documents or entities through an administration module and defining a domain for each entity. Further, one or more entities corresponding to the domain specific entity in the received documents are determined and a training file to one of pick a right parser, extract content and label the entity ambiguity is generated. One or more user actions are collected and maintained at a repository through a knowledge engine. Still further, one or more labelled ambiguous words are predicted and the knowledge engine is updated. Data may be fetched, through a training pipeline execution engine and each entity may be associated with one or more documents based on the fetched data from the document store to build configurable entity definitions.

    SYSTEM AND METHOD OF DATA JOIN AND METADATA CONFIGURATION
    3.
    发明申请
    SYSTEM AND METHOD OF DATA JOIN AND METADATA CONFIGURATION 审中-公开
    数据加密和元数据配置的系统和方法

    公开(公告)号：US20170060950A1

    公开(公告)日：2017-03-02

    申请号：US15247659

    申请日：2016-08-25

    Applicant: Infosys Limited

    Inventor： Navin Budhiraja ,  Sudipto Shankar Dasgupta ,  Sameer Mahadeo Kolhatkar ,  Mayoor Rao ,  Arulkumar Gopalan

    IPC: G06F17/30

    Abstract: A method and system of a data join includes capture of metadata information associated with one of semi-structured data and unstructured data. A flattened structure for one of the semi-structured data and the unstructured data is defined, and an entity is extracted from the unstructured data. Further, one of the semi-structured data and an entity extracted unstructured data are flattened based on the flattened structure, and flattened semi-structured data and flattened entity extracted unstructured data with relational data are joined.

    Abstract translation: 数据连接的方法和系统包括捕获与半结构化数据和非结构化数据之一相关联的元数据信息。 定义了半结构化数据和非结构化数据之一的扁平化结构，并从非结构化数据中提取实体。 此外，基于扁平化结构，半结构化数据和实体提取的非结构化数据之一被平坦化，并且连接具有关系数据的平坦化半结构化数据和平坦化实体提取的非结构化数据。

    METHOD AND SYSTEM OF AUTOMATIC EVENT AND ERROR CORRELATION FROM LOG DATA
    4.
    发明申请
    METHOD AND SYSTEM OF AUTOMATIC EVENT AND ERROR CORRELATION FROM LOG DATA 审中-公开

    公开(公告)号：US20190073257A1

    公开(公告)日：2019-03-07

    申请号：US15823259

    申请日：2017-11-27

    Applicant: Infosys Limited

    Inventor： Sudipto Shankar Dasgupta ,  Mayoor Rao ,  Ganapathy Subramanian

    IPC: G06F11/07 ,  G06F11/34 ,  G06F17/30

    Abstract: A method and system can implement error and event log correlation in an apparatus and include extracting one or more log information associated with a storage location and creating a flexible structure of the one or more log information. The one or more log information is translated to a database store based on a user input. A match level is determined between an event and error data through the one or more log information extracted. When the match level exceeds a predetermined value, a relationship between the event and error data is created through an algorithm and a shareable entry is created for the relationship in a format usable by another apparatus.

    Method and system of automatic event and error correlation from log data
    6.
    发明授权
    Method and system of automatic event and error correlation from log data 有权

    公开(公告)号：US11010223B2

    公开(公告)日：2021-05-18

    申请号：US15823259

    申请日：2017-11-27

    Applicant: Infosys Limited

    Inventor： Sudipto Shankar Dasgupta ,  Mayoor Rao ,  Ganapathy Subramanian

    IPC: G06F11/07 ,  G06F11/34 ,  G06F16/25

    Abstract: A method and system can implement error and event log correlation in an apparatus and include extracting one or more log information associated with a storage location and creating a flexible structure of the one or more log information. The one or more log information is translated to a database store based on a user input. A match level is determined between an event and error data through the one or more log information extracted. When the match level exceeds a predetermined value, a relationship between the event and error data is created through an algorithm and a shareable entry is created for the relationship in a format usable by another apparatus.

    Method and system for automating training of named entity recognition in natural language processing
    7.
    发明授权
    Method and system for automating training of named entity recognition in natural language processing 有权

    公开(公告)号：US10558754B2

    公开(公告)日：2020-02-11

    申请号：US15473424

    申请日：2017-03-29

    Applicant: Infosys Limited

    Inventor： Abdul Razack ,  Sudipto Dasgupta ,  Mayoor Rao ,  John Kuriakose

    IPC: G06F17/27 ,  G06N5/02 ,  G06N20/00

    Abstract: A method and system automates training named entity recognition in natural language processing to build configurable entity definitions includes receiving input documents or entities through an administration module and defining a domain for each entity. Further, one or more entities corresponding to the domain specific entity in the received documents are determined and a training file to one of pick a right parser, extract content and label the entity ambiguity is generated. One or more user actions are collected and maintained at a repository through a knowledge engine. Still further, one or more labelled ambiguous words are predicted and the knowledge engine is updated. Data may be fetched, through a training pipeline execution engine and each entity may be associated with one or more documents based on the fetched data from the document store to build configurable entity definitions.

    System and method of generating platform-agnostic abstract syntax tree
    9.
    发明授权
    System and method of generating platform-agnostic abstract syntax tree 有权

    公开(公告)号：US10803083B2

    公开(公告)日：2020-10-13

    申请号：US15247677

    申请日：2016-08-25

    Applicant: Infosys Limited

    Inventor： Navin Budhiraja ,  Sudipto Shankar Dasgupta ,  Mayoor Rao

    IPC: G06F16/25

    Abstract: A method generating a platform-agnostic abstract syntax tree (AST) comprises receiving data in a predefined format, through an input unit; subsequently parsing the data to extract model information corresponding to the predefined format of the data; and transforming, by a processing server, the model information to an abstract syntax tree (AST) structure. The above steps aid in generating, by the processing server, a platform-agnostic AST by combining predefined metadata and the abstract syntax tree (AST) structure.

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