Patents by Inventor Manal N. Almutery

Manal N. Almutery 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).

  • Method and system for detecting semantic errors in a text using artificial neural networks
    Patent number: 11023680
    Abstract: The invention provides a method and system for automatically detecting semantic errors in a text. In order to detect the semantic errors in the text, the method generates a first set of features and a second set of features corresponding to each word in the text. A first set of features corresponds to statistical features of a word and a second set of features for a word corresponds to the features generated for a plurality of words surrounding the word in the text using matrix factorization techniques. The method, then, combines a first set of features and a second set of features to generate a third set of features corresponding to each word in the text. Thereafter, the method utilizes an Artificial Neural Network (ANN) model to detect semantic validity of each word based on a corresponding third set of features.
    Type: Grant
    Filed: February 17, 2016
    Date of Patent: June 1, 2021
    Assignee: THE KING ABDULAZIZ CITY FOR SCIENCE AND TECHNOLOGY (KACST)
    Inventors: Ibrahim A Almosallam, Manal N Almutery, Marwa M Khan, Lulwah M Al-Yahyan, Abdulrahman I Almuhareb, Mohamed I Alkanhal
  • METHOD AND SYSTEM FOR DETECTING SEMANTIC ERRORS IN A TEXT USING ARTIFICIAL NEURAL NETWORKS
    Publication number: 20170235721
    Abstract: The invention provides a method and system for automatically detecting semantic errors in a text. In order to detect the semantic errors in the text, the method generates a first set of features and a second set of features corresponding to each word in the text. A first set of features corresponds to statistical features of a word and a second set of features for a word corresponds to the features generated for a plurality of words surrounding the word in the text using matrix factorization techniques. The method, then, combines a first set of features and a second set of features to generate a third set of features corresponding to each word in the text. Thereafter, the method utilizes an Artificial Neural Network (ANN) model to detect semantic validity of each word based on a corresponding third set of features.
    Type: Application
    Filed: February 17, 2016
    Publication date: August 17, 2017
    Applicant: The King Abdulaziz City for Science and Technology
    Inventors: Ibrahim A. Almosallam, Manal N. Almutery, Marwa M. Khan, Lulwah M. Al-Yahyan, Abdulrahman I. Almuhareb, Mohamed I. Alkanhal