Patents by Inventor Douglas C. Hebenthal
Douglas C. Hebenthal 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).
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Patent number: 11972217Abstract: 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: GrantFiled: November 1, 2022Date of Patent: April 30, 2024Assignee: RELX INC.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Patent number: 11797849Abstract: 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: GrantFiled: September 12, 2022Date of Patent: October 24, 2023Assignee: RELX INC.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Publication number: 20230115352Abstract: 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: ApplicationFiled: November 1, 2022Publication date: April 13, 2023Applicant: RELX Inc.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Publication number: 20230004840Abstract: 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: ApplicationFiled: September 12, 2022Publication date: January 5, 2023Applicant: RELX Inc.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Patent number: 11520990Abstract: 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: GrantFiled: April 2, 2020Date of Patent: December 6, 2022Assignee: RELX INC.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Patent number: 11475329Abstract: 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: GrantFiled: April 2, 2020Date of Patent: October 18, 2022Assignee: RELX INC.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Patent number: 11277652Abstract: 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: GrantFiled: July 6, 2020Date of Patent: March 15, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
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Patent number: 11222174Abstract: 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: GrantFiled: April 2, 2020Date of Patent: January 11, 2022Assignee: RELX INC.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Publication number: 20200336778Abstract: 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: ApplicationFiled: July 6, 2020Publication date: October 22, 2020Inventors: Cesare John SARETTO, Peter Tobias KINNEBREW, Nicholas Ferianc KAMUDA, Henry Hooper SOMUAH, Matthew John McCLOSKEY, Douglas C. HEBENTHAL, Kathleen P. MULCAHY
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Publication number: 20200320250Abstract: 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: ApplicationFiled: April 2, 2020Publication date: October 8, 2020Applicant: RELX Inc.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Publication number: 20200320411Abstract: 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: ApplicationFiled: April 2, 2020Publication date: October 8, 2020Applicant: RELX Inc.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Publication number: 20200320254Abstract: 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: ApplicationFiled: April 2, 2020Publication date: October 8, 2020Applicant: RELX Inc.Inventors: Douglas C. Hebenthal, Cesare John Saretto, James Tracy, Richard Clinkenbeard, Christopher Liu
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Patent number: 10735796Abstract: 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: GrantFiled: May 10, 2018Date of Patent: August 4, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
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Publication number: 20180262791Abstract: 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: ApplicationFiled: May 10, 2018Publication date: September 13, 2018Inventors: Cesare John SARETTO, Peter Tobias KINNEBREW, Nicholas Ferianc KAMUDA, Henry Hooper SOMUAH, Matthew John McCLOSKEY, Douglas C. HEBENTHAL, Kathleen P. MULCAHY
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Patent number: 9979994Abstract: 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: GrantFiled: May 9, 2017Date of Patent: May 22, 2018Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
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Publication number: 20170244996Abstract: 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: ApplicationFiled: May 9, 2017Publication date: August 24, 2017Applicant: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
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Patent number: 9679068Abstract: 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: GrantFiled: February 2, 2015Date of Patent: June 13, 2017Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Cesare John Saretto, Peter Tobias Kinnebrew, Nicholas Ferianc Kamuda, Henry Hooper Somuah, Matthew John McCloskey, Douglas C. Hebenthal, Kathleen P. Mulcahy
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Patent number: 9679060Abstract: Systems and methods are disclosed for customizing a user's experience with an application such as a search engine application. The user's experience is customized based on inferring a mood and/or interests of the user at least in part from an analysis of the user's posts on one or more social media sites. The search engine application is configured to include a user-following engine which follows a user's activities on social media websites. By tracking a user's posts and other activity on social media websites, and possibly those of his or her friends, the user-following engine is able to draw inferences about a user, including for example the user's emotional state, current trending interests, future plans, likes/dislikes and aspirations. The user-following engine may then customize the user's search experience based on these drawn inferences.Type: GrantFiled: October 13, 2010Date of Patent: June 13, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Douglas C. Hebenthal, Cesare J. Saretto, Kathleen P. Mulcahy, James E. Allard
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Publication number: 20170144064Abstract: A companion gaming experience is associated with a particular game title, but a user interface for the companion gaming experience is generated by a separate program from the associated game title and is presented on a device separate from the device on which the game user interface itself is presented. When an associated game of the video game title is not running, the companion gaming experience presents guide information and/or statistics data for the game title. However, when an associated game of the game title is running, the companion gaming experience presents gameplay data for the game in near-real-time.Type: ApplicationFiled: February 6, 2017Publication date: May 25, 2017Applicant: Microsoft Technology Licensing, LLCInventors: Cesare J. Saretto, Douglas C. Hebenthal, Humberto Castaneda, Kyle A. Pontier, Justin M. Harrison, Andrew Everett Woods
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Patent number: 9597599Abstract: A companion gaming experience is associated with a particular game title, but a user interface for the companion gaming experience is generated by a separate program from the associated game title and is presented on a device separate from the device on which the game user interface itself is presented. When an associated game of the video game title is not running, the companion gaming experience presents guide information and/or statistics data for the game title. However, when an associated game of the game title is running, the companion gaming experience presents gameplay data for the game in near-real-time.Type: GrantFiled: June 19, 2012Date of Patent: March 21, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Cesare J. Saretto, Douglas C. Hebenthal, Humberto Castaneda, Kyle A. Pontier, Justin M. Harrison, Andrew Everett Woods