Patents by Inventor Yingbei Tong

Yingbei Tong 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: 11386276
    Abstract: A method, system and a computer program product are provided for aligning embeddings of multiple languages and domains into a shared embedding space by transforming monolingual embeddings into a multilingual embeddings in a first shared embedding space using a cross-lingual learning process, and then transforming the multilingual embeddings into cross-domain, multilingual embeddings in a second shared embedding space using a cross-domain learning process.
    Type: Grant
    Filed: May 24, 2019
    Date of Patent: July 12, 2022
    Assignee: International Business Machines Corporation
    Inventors: Xiaotong Liu, Anbang Xu, Yingbei Tong, Rama Kalyani T. Akkiraju
  • Patent number: 11222176
    Abstract: A method, system and a computer program product are provided for generating a natural language model that is substantially independent of languages and domains by transforming monolingual embeddings into a multilingual embeddings in a first shared embedding space using a cross-lingual learning process, and then transforming the multilingual embeddings into cross-domain, multilingual embeddings in a second shared embedding space using a cross-domain learning process, where the multilingual embeddings and/or cross-domain, multilingual embeddings are evaluated to measure a degree to which the embeddings associate a set of target concepts with a set of attribute words.
    Type: Grant
    Filed: May 24, 2019
    Date of Patent: January 11, 2022
    Assignee: International Business Machines Corporation
    Inventors: Xiaotong Liu, Anbang Xu, Yingbei Tong, Rama Kalyani T. Akkiraju
  • Publication number: 20200372106
    Abstract: A method, system and a computer program product are provided for generating a natural language model that is substantially independent of languages and domains by transforming monolingual embeddings into a multilingual embeddings in a first shared embedding space using a cross-lingual learning process, and then transforming the multilingual embeddings into cross-domain, multilingual embeddings in a second shared embedding space using a cross-domain learning process, where the multilingual embeddings and/or cross-domain, multilingual embeddings are evaluated to measure a degree to which the embeddings associate a set of target concepts with a set of attribute words.
    Type: Application
    Filed: May 24, 2019
    Publication date: November 26, 2020
    Inventors: Xiaotong Liu, Anbang Xu, Yingbei Tong, Rama Kalyani T. Akkiraju
  • Publication number: 20200372115
    Abstract: A method, system and a computer program product are provided for aligning embeddings of multiple languages and domains into a shared embedding space by transforming monolingual embeddings into a multilingual embeddings in a first shared embedding space using a cross-lingual learning process, and then transforming the multilingual embeddings into cross-domain, multilingual embeddings in a second shared embedding space using a cross-domain learning process.
    Type: Application
    Filed: May 24, 2019
    Publication date: November 26, 2020
    Inventors: Xiaotong Liu, Anbang Xu, Yingbei Tong, Rama Kalyani T. Akkiraju