Patents by Inventor Ayah Zirikly

Ayah Zirikly 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).

  • Computer system, method and program for performing multilingual named entity recognition model transfer
    Patent number: 11030407
    Abstract: A multilingual named-entity recognition system according to an embodiment includes an acquisition unit configured to acquire an annotated sample of a source language and a sample of a target language, a first generation unit configured to generate an annotated named-entity recognition model of the source language by applying Conditional Random Field sequence labeling to the annotated sample of the source language and obtaining an optimum weight for each annotated named entity of the source language, a calculation unit configured to calculate similarity between the annotated sample of the source language and the sample of the target language, and a second generation unit configured to generate a named-entity recognition model of the target language based on the annotated named-entity recognition model of the source language and the similarity.
    Type: Grant
    Filed: June 22, 2016
    Date of Patent: June 8, 2021
    Assignee: Rakuten, Inc.
    Inventors: Masato Hagiwara, Ayah Zirikly
  • COMPUTER SYSTEM, METHOD AND PROGRAM FOR PERFORMING MULTILINGUAL NAMED ENTITY RECOGNITION MODEL TRANSFER
    Publication number: 20190034407
    Abstract: A multilingual named-entity recognition system according to an embodiment includes an acquisition unit configured to acquire an annotated sample of a source language and a sample of a target language, a first generation unit configured to generate an annotated named-entity recognition model of the source language by applying Conditional Random Field sequence labeling to the annotated sample of the source language and obtaining an optimum weight for each annotated named entity of the source language, a calculation unit configured to calculate similarity between the annotated sample of the source language and the sample of the target language, and a second generation unit configured to generate a named-entity recognition model of the target language based on the annotated named-entity recognition model of the source language and the similarity.
    Type: Application
    Filed: June 22, 2016
    Publication date: January 31, 2019
    Applicant: Rakuten, Inc.
    Inventors: Masato Hagiwara, Ayah Zirikly