Patents Assigned to EIGEN TECHNOLOGIES LTD
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Patent number: 11768884Abstract: 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 seleType: GrantFiled: June 24, 2022Date of Patent: September 26, 2023Assignee: EIGEN TECHNOLOGIES LTDInventors: Gregorio Benincasa, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
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Patent number: 11762921Abstract: 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 seleType: GrantFiled: June 24, 2022Date of Patent: September 19, 2023Assignee: EIGEN TECHNOLOGIES LTDInventors: Gregorio Benincasa, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
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Publication number: 20220327138Abstract: 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 seleType: ApplicationFiled: June 24, 2022Publication date: October 13, 2022Applicant: EIGEN TECHNOLOGIES LTDInventors: Gregorio Benincasa, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
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Publication number: 20220327284Abstract: 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 seleType: ApplicationFiled: June 24, 2022Publication date: October 13, 2022Applicant: EIGEN TECHNOLOGIES LTDInventors: Gregorio BENINCASA, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
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Publication number: 20220309109Abstract: 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 seleType: ApplicationFiled: February 3, 2022Publication date: September 29, 2022Applicant: EIGEN TECHNOLOGIES LTDInventors: Gregorio BENINCASA, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens