Patents by Inventor Tin Kam Ho

Tin Kam Ho 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).

  • Publication number: 20190155830
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Publication number: 20190156223
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Patent number: 10229195
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Grant
    Filed: June 22, 2017
    Date of Patent: March 12, 2019
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Patent number: 10223639
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Grant
    Filed: June 22, 2017
    Date of Patent: March 5, 2019
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Patent number: 10216839
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Grant
    Filed: February 16, 2018
    Date of Patent: February 26, 2019
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Patent number: 10210455
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Grant
    Filed: February 16, 2018
    Date of Patent: February 19, 2019
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Publication number: 20190034543
    Abstract: A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
    Type: Application
    Filed: September 27, 2018
    Publication date: January 31, 2019
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
  • Publication number: 20190026379
    Abstract: A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
    Type: Application
    Filed: September 27, 2018
    Publication date: January 24, 2019
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
  • Publication number: 20190026376
    Abstract: A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
    Type: Application
    Filed: August 31, 2018
    Publication date: January 24, 2019
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
  • Publication number: 20190005141
    Abstract: A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
    Type: Application
    Filed: August 31, 2018
    Publication date: January 3, 2019
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
  • Publication number: 20180373990
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Application
    Filed: February 16, 2018
    Publication date: December 27, 2018
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Publication number: 20180373790
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Application
    Filed: February 16, 2018
    Publication date: December 27, 2018
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Publication number: 20180373789
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Application
    Filed: June 22, 2017
    Publication date: December 27, 2018
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Publication number: 20180373989
    Abstract: Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
    Type: Application
    Filed: June 22, 2017
    Publication date: December 27, 2018
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Sean A. Wilner
  • Publication number: 20180358000
    Abstract: A method, system, and apparatus are provided for resolving conflicts between training data conflicts by retrieving independent training data sets, each comprising a plurality of intents and end-user utterances for use in training one or more classifiers to recognize a corresponding intent from one or more of the end-user utterances, providing a first test end-user utterance associated with a first intent from the first independent training data set to the one or more classifiers to select an output intent generated by the one or more classifiers; identifying a first conflict when the first intent does not match the output intent, and automatically generating, by the system, one or more conflict resolution recommendations for display and selection by an end user to resolve the first conflict.
    Type: Application
    Filed: June 12, 2017
    Publication date: December 13, 2018
    Inventors: David Amid, David Boaz, Tin Kam Ho, Amir Kantor, Luis A. Lastras-Montano, Neil R. Mallinar
  • Publication number: 20180358001
    Abstract: A method, apparatus, and system are provided for resolving conflicts between training data conflicts by retrieving independent training data sets, each comprising a plurality of intents and end-user utterances for use in training one or more classifiers to recognize a corresponding intent from one or more of the end-user utterances, providing a first test end-user utterance associated with a first intent from the first independent training data set to the one or more classifiers to select an output intent generated by the one or more classifiers; identifying a first conflict when the first intent does not match the output intent, and automatically generating, by the system, one or more conflict resolution recommendations for display and selection by an end user to resolve the first conflict.
    Type: Application
    Filed: October 31, 2017
    Publication date: December 13, 2018
    Inventors: David Amid, David Boaz, Tin Kam Ho, Amir Kantor, Luis A. Lastras-Montano, Neil R. Mallinar
  • Patent number: 10152550
    Abstract: A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
    Type: Grant
    Filed: June 23, 2017
    Date of Patent: December 11, 2018
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
  • Patent number: 10147036
    Abstract: A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
    Type: Grant
    Filed: June 23, 2017
    Date of Patent: December 4, 2018
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
  • Patent number: 10102294
    Abstract: A method and apparatus are provided for automatically generating and processing first and second concept vector sets extracted, respectively, from a first set of concept sequences and from a second, temporally separated, concept sequences by performing a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by identifying changes for one or more concepts included in the first and/or second set of concept sequences.
    Type: Grant
    Filed: June 23, 2017
    Date of Patent: October 16, 2018
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Oded Shmueli
  • Publication number: 20180268024
    Abstract: A computer-implemented method, a cognitive intelligence system and computer program product adapt a relational database containing image data types. At least one image token in the relational database is converted to a textual form. Text is produced based on relations of tokens in the relational database. A set of word vectors is produced based on the text. A cognitive intelligence query expressed as a structured query language (SQL) query may be applied to the relational database using the set of word vectors. An image token may be converted to textual form by converting the image to a tag, by using a neural network classification model and replacing the image token with a corresponding cluster identifier, by binary comparison or by a user-specified similarity function. An image token may be converted to a plurality of textual forms using more than one conversion method.
    Type: Application
    Filed: March 20, 2017
    Publication date: September 20, 2018
    Inventors: Bortik BANDYOPADHYAY, Rajesh BORDAWEKAR, Tin Kam HO