Patents by Inventor Sinan Guclu

Sinan Guclu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Training and applying structured data extraction models
    Patent number: 11768884
    Abstract: 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 sele
    Type: Grant
    Filed: June 24, 2022
    Date of Patent: September 26, 2023
    Assignee: EIGEN TECHNOLOGIES LTD
    Inventors: Gregorio Benincasa, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
  • Training and applying structured data extraction models
    Patent number: 11762921
    Abstract: 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 sele
    Type: Grant
    Filed: June 24, 2022
    Date of Patent: September 19, 2023
    Assignee: EIGEN TECHNOLOGIES LTD
    Inventors: Gregorio Benincasa, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
  • TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS
    Publication number: 20220327138
    Abstract: 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 sele
    Type: Application
    Filed: June 24, 2022
    Publication date: October 13, 2022
    Applicant: EIGEN TECHNOLOGIES LTD
    Inventors: Gregorio Benincasa, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
  • TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS
    Publication number: 20220327284
    Abstract: 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 sele
    Type: Application
    Filed: June 24, 2022
    Publication date: October 13, 2022
    Applicant: EIGEN TECHNOLOGIES LTD
    Inventors: Gregorio BENINCASA, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens
  • TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS
    Publication number: 20220309109
    Abstract: 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 sele
    Type: Application
    Filed: February 3, 2022
    Publication date: September 29, 2022
    Applicant: EIGEN TECHNOLOGIES LTD
    Inventors: Gregorio BENINCASA, Andrea Schiavi, Huiting Liu, Tom Bird, Uwais Iqbal, Petar Petrov, Jordan Muscatello, Gwyneth Harrison-Shermoen, Domenico Flauto, Sinan Guclu, Jacob Cozens