Patents by Inventor Liangqi Xiong

Liangqi Xiong 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).

  • Generating corpus for training and validating machine learning model for natural language processing
    Patent number: 11520982
    Abstract: A method may include generating, based a context-free grammar, a sample forming a corpus. The context-free grammar may include production rules for replacing a first nonterminal symbol with a second nonterminal symbol and/or a terminal symbol. The sample may be generated by rewriting recursively a first text string to form a second text string associated with the sample. The first text string may be rewritten by applying the production rules to replace nonterminal symbols included in the first text string until no nonterminal symbols remain in the first text string. A machine learning model may be trained, based on the corpus, to process a natural language. Related methods and articles of manufacture are also disclosed.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: December 6, 2022
    Assignee: SAP SE
    Inventors: Keguo Zhou, Jiyuan Zhan, Liangqi Xiong
  • GENERATING CORPUS FOR TRAINING AND VALIDATING MACHINE LEARNING MODEL FOR NATURAL LANGUAGE PROCESSING
    Publication number: 20210097136
    Abstract: A method may include generating, based a context-free grammar, a sample forming a corpus. The context-free grammar may include production rules for replacing a first nonterminal symbol with a second nonterminal symbol and/or a terminal symbol. The sample may be generated by rewriting recursively a first text string to form a second text string associated with the sample. The first text string may be rewritten by applying the production rules to replace nonterminal symbols included in the first text string until no nonterminal symbols remain in the first text string. A machine learning model may be trained, based on the corpus, to process a natural language. Related methods and articles of manufacture are also disclosed.
    Type: Application
    Filed: September 27, 2019
    Publication date: April 1, 2021
    Inventors: Keguo Zhou, Jiyuan Zhan, Liangqi Xiong