Patents by Inventor Devendra Goyal

Devendra Goyal 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).

  • Systems and Methods for the Identification of Medical Conditions, and Determination of Appropriate Therapies, by Passively Detecting Acoustic Signals from Cerebral Vasculature
    Publication number: 20210369182
    Abstract: The present specification describes a system for diagnosing or screening one or more pathologies in a patient. The system includes a headset with at least one microphone or accelerometer to passively receive vibrations generated by the cerebral vasculature of the patient's brain, computing devices coupled with the headset for processing the received vibrations to obtain a unique signal, and a signal analyzer to analyze the signal in order to determine if the data includes patterns uniquely indicative of at least one of tension headaches, migraines, depression, dementia, Alzheimer's disease, epilepsy, Parkinson's disease, autism, cerebral vasospasm and meningitis.
    Type: Application
    Filed: June 14, 2021
    Publication date: December 2, 2021
    Inventors: Benjamin William Bobo, David Robbins Asbury, Devendra Goyal, Mohsin Shah, John Chen, Sahar Bou-Ghazale Toukmaji
  • Systems and methods for the identification of medical conditions, and determination of appropriate therapies, by passively detecting acoustic signals from cerebral vasculature
    Patent number: 11076797
    Abstract: The present specification describes a system for diagnosing or screening one or more pathologies in a patient. The system includes a headset with at least one microphone or accelerometer to passively receive vibrations generated by the cerebral vasculature of the patient's brain, computing devices coupled with the headset for processing the received vibrations to obtain a unique signal, and a signal analyzer to analyze the signal in order to determine if the data includes patterns uniquely indicative of at least one of tension headaches, migraines, depression, dementia, Alzheimer's disease, epilepsy, Parkinson's disease, autism, cerebral vasospasm and meningitis.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: August 3, 2021
    Assignee: Cerenetex, Inc.
    Inventors: Benjamin William Bobo, David Robbins Asbury, Devendra Goyal, Mohsin Shah, John Chen, Sahar Bou-Ghazale Toukmaji
  • Readability awareness in natural language processing systems
    Patent number: 10956471
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: March 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 10664507
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: May 26, 2020
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20200110770
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: December 9, 2019
    Publication date: April 9, 2020
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 10534803
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: February 13, 2019
    Date of Patent: January 14, 2020
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Systems and Methods for the Identification of Medical Conditions, and Determination of Appropriate Therapies, by Passively Detecting Acoustic Signals Generated from Cerebral Vasculature
    Publication number: 20190307388
    Abstract: The present specification describes a system for diagnosing or screening one or more pathologies in a patient. The system includes a headset with at least one microphone or accelerometer to passively receive vibrations generated by the cerebral vasculature of the patient's brain, computing devices coupled with the headset for processing the received vibrations to obtain a unique signal, and a signal analyzer to analyze the signal in order to determine if the data includes patterns uniquely indicative of at least one of tension headaches, migraines, depression, dementia, Alzheimer's disease, epilepsy, Parkinson's disease, autism, cerebral vasospasm and meningitis.
    Type: Application
    Filed: April 10, 2019
    Publication date: October 10, 2019
    Inventors: Benjamin William Bobo, David Robbins Asbury, Devendra Goyal, Mohsin Shah, John Chen, Sahar Bou-Ghazale Toukmaji
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20190303394
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: June 19, 2019
    Publication date: October 3, 2019
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 10380156
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: October 31, 2017
    Date of Patent: August 13, 2019
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20190179840
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: February 13, 2019
    Publication date: June 13, 2019
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 10242092
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: October 26, 2017
    Date of Patent: March 26, 2019
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 9916380
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: May 20, 2016
    Date of Patent: March 13, 2018
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20180068015
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: October 31, 2017
    Publication date: March 8, 2018
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20180068014
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: October 26, 2017
    Publication date: March 8, 2018
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 9910912
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: January 5, 2016
    Date of Patent: March 6, 2018
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 9875300
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: May 24, 2016
    Date of Patent: January 23, 2018
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • Readability awareness in natural language processing systems
    Patent number: 9858336
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Grant
    Filed: January 5, 2016
    Date of Patent: January 2, 2018
    Assignee: International Business Machines Corporation
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20170193092
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: May 20, 2016
    Publication date: July 6, 2017
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20170193090
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: January 5, 2016
    Publication date: July 6, 2017
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith
  • READABILITY AWARENESS IN NATURAL LANGUAGE PROCESSING SYSTEMS
    Publication number: 20170193093
    Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.
    Type: Application
    Filed: May 24, 2016
    Publication date: July 6, 2017
    Inventors: Donna K. Byron, Devendra Goyal, Lakshminarayanan Krishnamurthy, Priscilla Santos Moraes, Michael C. Smith