Patents by Inventor Peng Z. XU

Peng Z. XU 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).

  • Patent number: 11270072
    Abstract: Systems and methods of automatically generating a coherence score for text data is provided. The approach includes receiving a plurality of string tokens representing decomposed portions of the target text data object. A trained neural network is provided that has been trained against a plurality of corpuses of training text across a plurality of topics. The string tokens are arranged to extract string tokens representing adjacent sentence pairs of the target text data object. For each adjacent sentence pair, the neural network generates a local coherence score representing a coherence level of the adjacent sentence pair of the target text data object, which are then aggregated for each adjacent sentence pair of the target text data object to generate a global coherence score for the target text data object.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: March 8, 2022
    Assignee: ROYAL BANK OF CANADA
    Inventors: Yanshuai Cao, Peng Z. Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Jackie C. K. Cheung
  • Publication number: 20200134016
    Abstract: Systems and methods of automatically generating a coherence score for text data is provided. The approach includes receiving a plurality of string tokens representing decomposed portions of the target text data object. A trained neural network is provided that has been trained against a plurality of corpuses of training text across a plurality of topics. The string tokens are arranged to extract string tokens representing adjacent sentence pairs of the target text data object. For each adjacent sentence pair, the neural network generates a local coherence score representing a coherence level of the adjacent sentence pair of the target text data object, which are then aggregated for each adjacent sentence pair of the target text data object to generate a global coherence score for the target text data object.
    Type: Application
    Filed: October 31, 2019
    Publication date: April 30, 2020
    Inventors: Yanshuai CAO, Peng Z. XU, Hamidreza SAGHIR, Jin Sung KANG, Leo LONG, Jackie C. K. CHEUNG