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    TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS
    1.
    发明申请
    TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS 有权

    公开(公告)号：US20220309109A1

    公开(公告)日：2022-09-29

    申请号：US17592269

    申请日：2022-02-03

    申请人： EIGEN TECHNOLOGIES LTD

    发明人： Gregorio BENINCASA ,  Andrea Schiavi ,  Huiting Liu ,  Tom Bird ,  Uwais Iqbal ,  Petar Petrov ,  Jordan Muscatello ,  Gwyneth Harrison-Shermoen ,  Domenico Flauto ,  Sinan Guclu ,  Jacob Cozens

    IPC分类号： G06F16/93 ,  G06F40/289 ,  G06F40/284

    摘要： A computer system for extracting structured data from unstructured or semi-structured text in an electronic document, the system comprising: a graphical user interface configured to present to a user a graphical view of a document for use in training multiple data extraction models for the document, each data extraction model associated with a user defined question; a user input component configured to enable the user to highlight portions of the document; the system configured to present in association with each highlighted portion an interactive user entry object which presents a menu of question types to a user in a manner to enable the user to select one of the question types, and a field for receiving from the user a question identifier in the form of human readable text, wherein the question identifier and question type selected by the user are used for selecting a data extraction model, and wherein the highlighted portion of the document associated with the question identifier is used to train the selected data extraction model.

    TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS
    2.
    发明申请
    TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS 有权

    公开(公告)号：US20220327138A1

    公开(公告)日：2022-10-13

    申请号：US17849174

    申请日：2022-06-24

    申请人： EIGEN TECHNOLOGIES LTD

    发明人： Gregorio Benincasa ,  Andrea Schiavi ,  Huiting Liu ,  Tom Bird ,  Uwais Iqbal ,  Petar Petrov ,  Jordan Muscatello ,  Gwyneth Harrison-Shermoen ,  Domenico Flauto ,  Sinan Guclu ,  Jacob Cozens

    IPC分类号： G06F16/25

    摘要： A computer system for extracting structured data from unstructured or semi-structured text in an electronic document, the system comprising: a graphical user interface configured to present to a user a graphical view of a document for use in training multiple data extraction models for the document, each data extraction model associated with a user defined question; a user input component configured to enable the user to highlight portions of the document; the system configured to present in association with each highlighted portion an interactive user entry object which presents a menu of question types to a user in a manner to enable the user to select one of the question types, and a field for receiving from the user a question identifier in the form of human readable text, wherein the question identifier and question type selected by the user are used for selecting a data extraction model, and wherein the highlighted portion of the document associated with the question identifier is used to train the selected data extraction model.

    TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS
    5.
    发明申请
    TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS 有权

    公开(公告)号：US20220327284A1

    公开(公告)日：2022-10-13

    申请号：US17849162

    申请日：2022-06-24

    申请人： EIGEN TECHNOLOGIES LTD

    发明人： Gregorio BENINCASA ,  Andrea Schiavi ,  Huiting Liu ,  Tom Bird ,  Uwais Iqbal ,  Petar Petrov ,  Jordan Muscatello ,  Gwyneth Harrison-Shermoen ,  Domenico Flauto ,  Sinan Guclu ,  Jacob Cozens

    IPC分类号： G06F40/284 ,  G06F40/205 ,  G06F40/183 ,  G06F16/34

    摘要： A computer system for extracting structured data from unstructured or semi-structured text in an electronic document, the system comprising: a graphical user interface configured to present to a user a graphical view of a document for use in training multiple data extraction models for the document, each data extraction model associated with a user defined question; a user input component configured to enable the user to highlight portions of the document; the system configured to present in association with each highlighted portion an interactive user entry object which presents a menu of question types to a user in a manner to enable the user to select one of the question types, and a field for receiving from the user a question identifier in the form of human readable text, wherein the question identifier and question type selected by the user are used for selecting a data extraction model, and wherein the highlighted portion of the document associated with the question identifier is used to train the selected data extraction model.