Patents by Inventor Zhongqiang Huang

Zhongqiang Huang 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).

  • Cross-lingual information retrieval and information extraction
    Patent number: 11531824
    Abstract: A machine accesses a query in a first natural language. The machine identifies an event corresponding to the query. The machine computes, using a cross-lingual information retrieval module, a ranked list of documents in a second natural language that are related to the event. At least a portion of documents in the ranked list are selected from a collection of documents in the second natural language that are not annotated with events. The cross-lingual information retrieval module is trained using a dataset comprising annotated documents in the first natural language and translations of the annotated documents into the second natural language. Each annotated document is annotated with one or more events. The machine provides an output representing at least a portion of the ranked list of documents in the second natural language. The second natural language is different from the first natural language.
    Type: Grant
    Filed: May 17, 2019
    Date of Patent: December 20, 2022
    Assignee: Raytheon BBN Technologies Corp.
    Inventors: Bonan Min, Rabih Zbib, Zhongqiang Huang
  • CROSS-LINGUAL INFORMATION RETRIEVAL AND INFORMATION EXTRACTION
    Publication number: 20200364307
    Abstract: A machine accesses a query in a first natural language. The machine identifies an event corresponding to the query. The machine computes, using a cross-lingual information retrieval module, a ranked list of documents in a second natural language that are related to the event. At least a portion of documents in the ranked list are selected from a collection of documents in the second natural language that are not annotated with events. The cross-lingual information retrieval module is trained using a dataset comprising annotated documents in the first natural language and translations of the annotated documents into the second natural language. Each annotated document is annotated with one or more events. The machine provides an output representing at least a portion of the ranked list of documents in the second natural language. The second natural language is different from the first natural language.
    Type: Application
    Filed: May 17, 2019
    Publication date: November 19, 2020
    Inventors: Bonan Min, Rabih Zbib, Zhongqiang Huang