Patents by Inventor Chung-Wei Hang

Chung-Wei Hang 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).

  • Supporting evidence retrieval for complex answers
    Patent number: 10810215
    Abstract: Systems and methods for generating answers to questions. One method includes receiving a question having question terms; identifying candidate answers to the question having answer terms; searching data sources to determine passages including either a question term or an answer term in the candidate answer; scoring the passages for candidate answers using a scoring mechanism, the scoring mechanism computing a first degree of relevance of the passage to the question terms, computing a second degree of relevance of the passage to the answer terms of one of the candidate answers, and determining a score for the passage by combining the first degree of relevance and the second degree of relevance; ranking candidate answers to the question based on the scores associated with the scoring each of the passages for each of the candidate answers; and providing an answer to the question based on ranking of the candidate answers.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: October 20, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: James William Murdock, IV, Eun Ha, Chung-Wei Hang, Kazi Hasan, Nisarga Markandaiah, Christopher Munjal Nolan, Lin Pan, Sai Prathyusha Peddi, Mary Diane Swift
  • SUPPORTING EVIDENCE RETRIEVAL FOR COMPLEX ANSWERS
    Publication number: 20190188271
    Abstract: Systems and methods for generating answers to questions. One method includes receiving a question having question terms; identifying candidate answers to the question having answer terms; searching data sources to determine passages including either a question term or an answer term in the candidate answer; scoring the passages for candidate answers using a scoring mechanism, the scoring mechanism computing a first degree of relevance of the passage to the question terms, computing a second degree of relevance of the passage to the answer terms of one of the candidate answers, and determining a score for the passage by combining the first degree of relevance and the second degree of relevance; ranking candidate answers to the question based on the scores associated with the scoring each of the passages for each of the candidate answers; and providing an answer to the question based on ranking of the candidate answers.
    Type: Application
    Filed: December 15, 2017
    Publication date: June 20, 2019
    Inventors: James William Murdock, Eun Ha, Chung-Wei Hang, Kazi Hasan, Nisarga Markandaiah, Christopher Munjal Nolan, Lin Pan, Sai Prathyusha Peddi, Mary Diane Swift
  • ANNOTATING TEXT USING EMOTIVE CONTENT AND MACHINE LEARNING
    Publication number: 20170109336
    Abstract: A natural language text is received from a user. The natural language text includes typing characteristics metadata. An emotive content of the natural language text is determined using a machine learning model. The natural language text is modified based on the emotive content.
    Type: Application
    Filed: December 29, 2015
    Publication date: April 20, 2017
    Inventors: Nicholas V. Bruno, Chung-Wei Hang, Nisarga Markandaiah, Jared M.D. Smythe
  • ANNOTATING TEXT USING EMOTIVE CONTENT AND MACHINE LEARNING
    Publication number: 20170109651
    Abstract: A natural language text is received from a user. The natural language text includes typing characteristics metadata. An emotive content of the natural language text is determined using a machine learning model. The natural language text is modified based on the emotive content.
    Type: Application
    Filed: October 20, 2015
    Publication date: April 20, 2017
    Inventors: Nicholas V. Bruno, Chung-Wei Hang, Nisarga Markandaiah, Jared M.D. Smythe