Patents by Inventor Cesare John Saretto

Cesare John Saretto 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).

  • Patent number: 11797849
    Abstract: In one embodiment, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.
    Type: Grant
    Filed: September 12, 2022
    Date of Patent: October 24, 2023
    Assignee: RELX INC.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Publication number: 20230115352
    Abstract: System and method for displaying a user interface of an evaluation system configured to evaluate predicted answers generated by a machine learning system. For example, the method includes receiving textual data and a predicted answer to a question associated with a text object. The text object includes a structured data field of the textual data. The predicted answer includes a confidence level. The confidence level is determined by a machine learning system. In response to determining the confidence level being larger than or equal to a predetermined confidence threshold, the predicted answer and a reference is stored in a storage for retrieval and display. The reference indicates a location of the text object in the textual data. In response to determining the confidence level being smaller than the predetermined confidence threshold, the question and the text object associated with the question is displayed.
    Type: Application
    Filed: November 1, 2022
    Publication date: April 13, 2023
    Applicant: RELX Inc.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Publication number: 20230004840
    Abstract: In one embodiment, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.
    Type: Application
    Filed: September 12, 2022
    Publication date: January 5, 2023
    Applicant: RELX Inc.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Patent number: 11520990
    Abstract: Systems and methods include receiving textual data and a predicted answer to a question associated with a text object. The text object includes a structured data field of the textual data. The predicted answer includes a confidence level. The confidence level is determined by a machine learning system based at least in part on one or more models of the machine learning system and the textual data. In response to determining the confidence level being larger than or equal to a predetermined confidence threshold, the predicted answer and a reference is stored in a storage for retrieval and display. The reference indicates a location of the text object in the textual data. In response to determining the confidence level being smaller than the predetermined confidence threshold, the question and the text object associated with the question is displayed, at the user interface, to a user for inputting a true answer.
    Type: Grant
    Filed: April 2, 2020
    Date of Patent: December 6, 2022
    Assignee: RELX INC.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Patent number: 11475329
    Abstract: System and method for adaptive training of a machine learning system processing textual data. For example, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.
    Type: Grant
    Filed: April 2, 2020
    Date of Patent: October 18, 2022
    Assignee: RELX INC.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Patent number: 11277652
    Abstract: A system finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: March 15, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
  • Patent number: 11222174
    Abstract: Systems and methods for generating logical documents for a document evaluation system are provided. For example, a method for generating logical documents for a document evaluation system includes receiving a first child document associated with a master document. The master document includes one or more master terms. The first child document includes one or more first child terms and a first date. The method further includes generating a logical document based at least in part on the master document. The logical document includes one or more current document values. Each current document value corresponds to one master term and is associated with a current date and a current reference. The current reference identifies a region in the master document related to the one master term. The method further includes selecting a first child term from the one or more first child terms.
    Type: Grant
    Filed: April 2, 2020
    Date of Patent: January 11, 2022
    Assignee: RELX INC.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Publication number: 20200336778
    Abstract: A system finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Application
    Filed: July 6, 2020
    Publication date: October 22, 2020
    Inventors: Cesare John SARETTO, Peter Tobias KINNEBREW, Nicholas Ferianc KAMUDA, Henry Hooper SOMUAH, Matthew John McCLOSKEY, Douglas C. HEBENTHAL, Kathleen P. MULCAHY
  • Publication number: 20200320411
    Abstract: System and method for adaptive training of a machine learning system processing textual data. For example, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.
    Type: Application
    Filed: April 2, 2020
    Publication date: October 8, 2020
    Applicant: RELX Inc.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Publication number: 20200320250
    Abstract: Systems and methods for generating logical documents for a document evaluation system are provided. For example, a method for generating logical documents for a document evaluation system includes receiving a first child document associated with a master document. The master document includes one or more master terms. The first child document includes one or more first child terms and a first date. The method further includes generating a logical document based at least in part on the master document. The logical document includes one or more current document values. Each current document value corresponds to one master term and is associated with a current date and a current reference. The current reference identifies a region in the master document related to the one master term. The method further includes selecting a first child term from the one or more first child terms.
    Type: Application
    Filed: April 2, 2020
    Publication date: October 8, 2020
    Applicant: RELX Inc.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Publication number: 20200320254
    Abstract: System and method for dynamically displaying a user interface of an evaluation system configured to evaluate predicted answers generated by a machine learning system. For example, the method includes receiving textual data and a predicted answer to a question associated with a text object. The text object includes a structured data field of the textual data. The predicted answer includes a confidence level. The confidence level is determined by a machine learning system based at least in part on one or more models of the machine learning system and the textual data. In response to determining the confidence level being larger than or equal to a predetermined confidence threshold, the predicted answer and a reference is stored in a storage for retrieval and display. The reference indicates a location of the text object in the textual data.
    Type: Application
    Filed: April 2, 2020
    Publication date: October 8, 2020
    Applicant: RELX Inc.
    Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
  • Patent number: 10735796
    Abstract: A system finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Grant
    Filed: May 10, 2018
    Date of Patent: August 4, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
  • Publication number: 20180262791
    Abstract: A system finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Application
    Filed: May 10, 2018
    Publication date: September 13, 2018
    Inventors: Cesare John SARETTO, Peter Tobias KINNEBREW, Nicholas Ferianc KAMUDA, Henry Hooper SOMUAH, Matthew John McCLOSKEY, Douglas C. HEBENTHAL, Kathleen P. MULCAHY
  • Patent number: 9979994
    Abstract: A system automatically and continuously finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Grant
    Filed: May 9, 2017
    Date of Patent: May 22, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
  • Patent number: 9837124
    Abstract: In various embodiments, methods and systems for generating interactive videos based on a layered interactive video platform are provided. An interactive graphics track is received using a layered video platform that supports interactive graphics tracks functionality on interactivity content editor components, content management components, and interactivity components on end-user media devices. The interactive graphics track comprises interactivity instructions that initialize cloud-based interactivity services. An interactivity content editor component can be used to generate interactive graphics tracks and develop interactivity instructions for composing the interactive graphics elements. Composing the interactive graphics elements is based on executing the interactivity instructions that define features of the interactive graphics elements. Composing the interactive graphics elements comprises accessing cloud-based interactivity services corresponding to the interactivity instructions.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: December 5, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Kiki Wolfkill, Cesare John Saretto, Daniel J. Chosich, Tony Hau, Adam S. Callens, Sandra Jolly Lemon, Duncan James McKay, Jesse Paul Roberts, Michael Raymond Gerhardt
  • Publication number: 20170244996
    Abstract: A system automatically and continuously finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Application
    Filed: May 9, 2017
    Publication date: August 24, 2017
    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
  • Patent number: 9679068
    Abstract: A system automatically and continuously finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Grant
    Filed: February 2, 2015
    Date of Patent: June 13, 2017
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
  • Publication number: 20170004861
    Abstract: In various embodiments, methods and systems for generating interactive videos based on a layered interactive video platform are provided. An interactive graphics track is received using a layered video platform that supports interactive graphics tracks functionality on interactivity content editor components, content management components, and interactivity components on end-user media devices. The interactive graphics track comprises interactivity instructions that initialize cloud-based interactivity services. An interactivity content editor component can be used to generate interactive graphics tracks and develop interactivity instructions for composing the interactive graphics elements. Composing the interactive graphics elements is based on executing the interactivity instructions that define features of the interactive graphics elements. Composing the interactive graphics elements comprises accessing cloud-based interactivity services corresponding to the interactivity instructions.
    Type: Application
    Filed: June 30, 2015
    Publication date: January 5, 2017
    Inventors: KIKI WOLFKILL, CESARE JOHN SARETTO, DANIEL J. CHOSICH, TONY HAU, ADAM S. CALLENS, SANDRA JOLLY LEMON, DUNCAN JAMES McKAY, JESSE PAUL ROBERTS, MICHAEL RAYMOND GERHARDT
  • Patent number: 9280433
    Abstract: Described is a headless server appliance configured with a secondary actuation mechanism that when actuated, enters the headless server appliance into a diagnostic mode. For example, the diagnostic mode may correspond to a secondary operating system booted from a BIOS component activated by the secondary actuation mechanism. In the diagnostic mode, primitives may be communicated between a client device coupled (e.g., via a network or USB connection) to the headless server appliance, such as to provide the client device with access to the headless server appliance's hard disk. Other primitives, such as communicated via APIs, may provide the client device with access to the BIOS. The secondary operating system and/or client device may perform diagnostics and recovery operations on the headless server appliance. For example, the client device or similar source may restore or update the primary operating system image to a storage medium of the headless server appliance.
    Type: Grant
    Filed: January 13, 2012
    Date of Patent: March 8, 2016
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Cesare John Saretto, James C. Gray, James M. Lyon
  • Publication number: 20150149288
    Abstract: A system automatically and continuously finds and aggregates the most relevant and current information about the people and things that a user cares about. The information gathering is based on current context (e.g., where the user is, what the user is doing, what the user is saying/typing, etc.). The result of the context based information gathering is presented ubiquitously on user interfaces of any of the various physical devices operated by the user.
    Type: Application
    Filed: February 2, 2015
    Publication date: May 28, 2015
    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy