Patents by Inventor Meilan Ding

Meilan Ding 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).

  • Natural language question expansion and extraction
    Patent number: 11093835
    Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.
    Type: Grant
    Filed: November 22, 2016
    Date of Patent: August 17, 2021
    Assignee: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
  • NATURAL LANGUAGE QUESTION EXPANSION AND EXTRACTION
    Publication number: 20170076204
    Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.
    Type: Application
    Filed: November 22, 2016
    Publication date: March 16, 2017
    Inventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
  • Natural language question expansion and extraction
    Patent number: 9535898
    Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base, wherein each candidate question includes an expansion of each of the extracted set of features; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.
    Type: Grant
    Filed: February 6, 2013
    Date of Patent: January 3, 2017
    Assignee: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
  • NATURAL LANGUAGE QUESTION EXPANSION AND EXTRACTION
    Publication number: 20140379330
    Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.
    Type: Application
    Filed: September 11, 2014
    Publication date: December 25, 2014
    Inventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi
  • NATURAL LANGUAGE QUESTION EXPANSION AND EXTRACTION
    Publication number: 20140222743
    Abstract: Methods, computer program products and systems for generating at least one factual question from a set of seed questions and answer pairs. One method includes: obtaining at least one seed question and answer pair from the set of seed question and answer pairs; extracting a set of features associated with the at least one seed question and answer pair using at least one common analysis system (CAS) in a set of CASs and a specific knowledge base; generating a set of candidate questions from the extracted set of features using a logistic regression algorithm and the specific knowledge base, wherein each candidate question includes an expansion of each of the extracted set of features; and ranking each candidate question relative to a remainder of candidate questions in the set of candidate questions based on the extracted set of features and the at least one seed question and answer pair.
    Type: Application
    Filed: February 6, 2013
    Publication date: August 7, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Linda M. Boyer, Wesley T. Chuang, Meilan Ding, William R. Gee, Palani Sakthi